amusi / iccv2023-papers-with-code

ICCV 2023 论文和开源项目合集

ICCV2023-Papers-with-Code

ICCV 2023 论文和开源项目合集(papers with code)！

2160 papers accepted！

ICCV 2023 收录论文IDs：https://t.co/A0mCH8gbOi

注1：欢迎各位大佬提交issue，分享ICCV 2023论文和开源项目！

注2：关于往年CV顶会论文以及其他优质CV论文和大盘点，详见： https://github.com/amusi/daily-paper-computer-vision

ICCV 2021

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【ICCV 2023 论文开源目录】

• Backbone
• CLIP
• MAE
• GAN
• GNN
• MLP
• NAS
• OCR
• NeRF
• DETR
• Prompt
• Diffusion Models(扩散模型)
• Prompt
• Avatars
• ReID(重识别)
• 长尾分布(Long-Tail)
• Vision Transformer
• 视觉和语言(Vision-Language)
• 自监督学习(Self-supervised Learning)
• 数据增强(Data Augmentation)
• 目标检测(Object Detection)
• 目标跟踪(Visual Tracking)
• 语义分割(Semantic Segmentation)
• 实例分割(Instance Segmentation)
• 全景分割(Panoptic Segmentation)
• 医学图像分类(Medical Image Classfication)
• 医学图像分割(Medical Image Segmentation)
• 视频目标分割(Video Object Segmentation)
• 视频实例分割(Video Instance Segmentation)
• 参考图像分割(Referring Image Segmentation)
• 图像抠图(Image Matting)
• Low-level Vision
• 超分辨率(Super-Resolution)
• 去噪(Denoising)
• 去模糊(Deblur)
• 3D点云(3D Point Cloud)
• 3D目标检测(3D Object Detection)
• 3D语义分割(3D Semantic Segmentation)
• 3D目标跟踪(3D Object Tracking)
• 3D语义场景补全(3D Semantic Scene Completion)
• 3D配准(3D Registration)
• 3D人体姿态估计(3D Human Pose Estimation)
• 3D人体Mesh估计(3D Human Mesh Estimation)
• 医学图像(Medical Image)
• 图像生成(Image Generation)
• 视频生成(Video Generation)
• 图像编辑(Image Editing)
• 视频编辑(Video Editing)
• 视频理解(Video Understanding)
• 人体运动生成(Human Motion Generation)
• 低光照图像增强(Low-light Image Enhancement)
• 场景文本识别(Scene Text Recognition)
• 图像检索(Image Retrieval)
• 图像融合(Image Fusion)
• 轨迹预测(Trajectory Prediction)
• 人群计数(Crowd Counting)
• Video Quality Assessment(视频质量评价)
• 其它(Others)

Avatars

Transforming Text into Neural Human Avatars with Parameterized Shape and Pose Control

Paper: https://arxiv.org/abs/2303.17606

Code: https://github.com/songrise/AvatarCraft

Backbone

Rethinking Mobile Block for Efficient Attention-based Models

• Paper: https://arxiv.org/abs/2301.01146
• Code: https://github.com/zhangzjn/EMO

CLIP

PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization

• Paper: https://arxiv.org/abs/2307.15199
• Code: https://PromptStyler.github.io/

CLIPTrans: Transferring Visual Knowledge with Pre-trained Models for Multimodal Machine Translation

• Paper: https://arxiv.org/abs/2308.15226
• Code: http://www.github.com/devaansh100/CLIPTrans

NeRF

IntrinsicNeRF: Learning Intrinsic Neural Radiance Fields for Editable Novel View Synthesis

• Homepage: https://zju3dv.github.io/intrinsic_nerf/
• Paper: https://arxiv.org/abs/2210.00647
• Code: https://github.com/zju3dv/IntrinsicNeRF

Transforming Text into Neural Human Avatars with Parameterized Shape and Pose Control

• Paper: https://arxiv.org/abs/2303.17606

• Code: https://github.com/songrise/AvatarCraft

FlipNeRF: Flipped Reflection Rays for Few-shot Novel View Synthesis

• Homepage: https://shawn615.github.io/flipnerf/
• Code: https://github.com/shawn615/FlipNeRF
• Paper: https://arxiv.org/abs/2306.17723

Tri-MipRF: Tri-Mip Representation for Efficient Anti-Aliasing Neural Radiance Fields

• Homepage: https://wbhu.github.io/projects/Tri-MipRF

• Paper: https://arxiv.org/abs/2307.11335

• Code: https://github.com/wbhu/Tri-MipRF

Diffusion Models(扩散模型)

PoseDiffusion: Solving Pose Estimation via Diffusion-aided Bundle Adjustment

• Paper: https://arxiv.org/abs/2306.15667
• Code: https://github.com/facebookresearch/PoseDiffusion

FreeDoM: Training-Free Energy-Guided Conditional Diffusion Model

• Paper: https://arxiv.org/abs/2303.09833
• Code: https://github.com/vvictoryuki/FreeDoM

BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion

• Paper: https://arxiv.org/abs/2307.10816
• Code: https://github.com/Sierkinhane/BoxDiff

BeLFusion: Latent Diffusion for Behavior-Driven Human Motion Prediction

• Paper: https://arxiv.org/abs/2211.14304
• Code: https://github.com/BarqueroGerman/BeLFusion

DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion

• Paper: https://arxiv.org/abs/2303.06840
• Code: https://github.com/Zhaozixiang1228/MMIF-DDFM

DIRE for Diffusion-Generated Image Detection

• Paper: https://arxiv.org/abs/2303.09295
• Code: https://github.com/ZhendongWang6/DIRE

Prompt

Read-only Prompt Optimization for Vision-Language Few-shot Learning

• Paper: https://arxiv.org/abs/2308.14960
• Code: https://github.com/mlvlab/RPO

Introducing Language Guidance in Prompt-based Continual Learning

• Paper: https://arxiv.org/abs/2308.15827
• Code: None

视觉和语言(Vision-Language)

Read-only Prompt Optimization for Vision-Language Few-shot Learning

• Paper: https://arxiv.org/abs/2308.14960
• Code: https://github.com/mlvlab/RPO

目标检测(Object Detection)

Femtodet: an object detection baseline for energy versus performance tradeoffs

• Paper: https://arxiv.org/abs/2301.06719
• Code: https://github.com/yh-pengtu/FemtoDet

Group DETR: Fast DETR Training with Group-Wise One-to-Many Assignment

• Paper: https://arxiv.org/abs/2207.13085
• Code: https://github.com/Atten4Vis/GroupDETR

Integrally Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection

• Paper: https://arxiv.org/abs/2205.09613
• Code: https://github.com/LiewFeng/imTED

ASAG: Building Strong One-Decoder-Layer Sparse Detectors via Adaptive Sparse Anchor Generation

• Paper: https://arxiv.org/abs/2308.09242
• Code: https://github.com/iSEE-Laboratory/ASAG

目标跟踪(Visual Tracking)

Cross-modal Orthogonal High-rank Augmentation for RGB-Event Transformer-trackers

• Paper: https://arxiv.org/abs/2307.04129
• Code: https://github.com/ZHU-Zhiyu/High-Rank_RGB-Event_Tracker

语义分割(Semantic Segmentation)

Segment Anything

• Homepage: https://segment-anything.com/
• Paper: https://arxiv.org/abs/2304.02643
• Code: https://github.com/facebookresearch/segment-anything

MARS: Model-agnostic Biased Object Removal without Additional Supervision for Weakly-Supervised Semantic Segmentation

• Paper: https://arxiv.org/abs/2304.09913
• Code: https://github.com/shjo-april/MARS

FreeCOS: Self-Supervised Learning from Fractals and Unlabeled Images for Curvilinear Object Segmentation

• Paper: https://arxiv.org/abs/2307.07245
• Code: https://github.com/TY-Shi/FreeCOS

Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation

• Paper: https://arxiv.org/abs/2211.14512
• Code: https://github.com/yyliu01

Disentangle then Parse:Night-time Semantic Segmentation with Illumination Disentanglement

• Paper: https://arxiv.org/abs/2307.09362
• Code: https://github.com/w1oves/DTP

视频目标分割(Video Object Segmentation)

Towards Robust Referring Video Object Segmentation with Cyclic Relational Consensus

• Paper: https://arxiv.org/abs/2207.01203

• Code: https://github.com/lxa9867/R2VOS

视频实例分割(Video Instance Segmentation)

DVIS: Decoupled Video Instance Segmentation Framework

• Paper: https://arxiv.org/abs/2306.03413
• Code: https://github.com/zhang-tao-whu/DVIS

医学图像分类

BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification

• Paper: https://arxiv.org/abs/2203.01937

• Code: https://github.com/cyh-0/BoMD

医学图像分割

CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection

• Paper: https://arxiv.org/abs/2301.00785
• Code: https://github.com/ljwztc/CLIP-Driven-Universal-Model

Low-level Vision

Self-supervised Learning to Bring Dual Reversed Rolling Shutter Images Alive

• Paper: https://arxiv.org/abs/2305.19862
• Code: https://github.com/shangwei5/SelfDRSC

超分辨率(Super-Resolution)

Spherical Space Feature Decomposition for Guided Depth Map Super-Resolution.

• Paper: https://arxiv.org/abs/2303.08942
• Code: https://github.com/Zhaozixiang1228/GDSR-SSDNet

3D点云(3D Point Cloud)

Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

• Homepage: https://ldkong.com/Robo3D
• Paper: https://arxiv.org/abs/2303.17597
• Code: https://github.com/ldkong1205/Robo3D

Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models

• Paper: https://arxiv.org/abs/2304.07221
• Code: https://github.com/zyh16143998882/ICCV23-IDPT

Point Contrastive Prediction with Semantic Clustering for Self-Supervised Learning on Point Cloud Videos

• Paper: https://arxiv.org/abs/2308.09247
• Code: None

3D目标检测(3D Object Detection)

PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images

• Paper: https://arxiv.org/abs/2206.01256
• Code: https://github.com/megvii-research/PETR

DQS3D: Densely-matched Quantization-aware Semi-supervised 3D Detection

• Paper: https://arxiv.org/abs/2304.13031
• Code: https://github.com/AIR-DISCOVER/DQS3D

SparseFusion: Fusing Multi-Modal Sparse Representations for Multi-Sensor 3D Object Detection

• Paper: https://arxiv.org/abs/2304.14340
• Code: https://github.com/yichen928/SparseFusion

StreamPETR: Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection

• Paper: https://arxiv.org/abs/2303.11926
• Code: https://github.com/exiawsh/StreamPETR.git

Cross Modal Transformer: Towards Fast and Robust 3D Object Detection

• Paper: https://arxiv.org/abs/2301.01283
• Code: https://github.com/junjie18/CMT.git

MetaBEV: Solving Sensor Failures for BEV Detection and Map Segmentation

• Paper: https://arxiv.org/abs/2304.09801
• Project: https://chongjiange.github.io/metabev.html
• Code: https://github.com/ChongjianGE/MetaBEV

Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling

• Paper: https://arxiv.org/abs/2307.07944
• Code: https://github.com/zhuoxiao-chen/ReDB-DA-3Ddet

SA-BEV: Generating Semantic-Aware Bird's-Eye-View Feature for Multi-view 3D Object Detection

• Paper: https://arxiv.org/abs/2307.11477
• Code: https://github.com/mengtan00/SA-BEV

3D语义分割(3D Semantic Segmentation)

Rethinking Range View Representation for LiDAR Segmentation

• Homepage: https://ldkong.com/RangeFormer
• Paper: https://arxiv.org/abs/2303.05367
• Code: None

3D目标跟踪(3D Object Tracking)

MBPTrack: Improving 3D Point Cloud Tracking with Memory Networks and Box Priors

• Paper: https://arxiv.org/abs/2303.05071
• Code : https://github.com/slothfulxtx/MBPTrack3D

视频理解(Video Understanding)

Unmasked Teacher: Towards Training-Efficient Video Foundation Models

• Paper: https://arxiv.org/abs/2303.16058

• Code: https://github.com/OpenGVLab/unmasked_teacher

图像生成(Image Generation)

FreeDoM: Training-Free Energy-Guided Conditional Diffusion Model

• Paper: https://arxiv.org/abs/2303.09833
• Code: https://github.com/vvictoryuki/FreeDoM

BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion

• Paper: https://arxiv.org/abs/2307.10816
• Code: https://github.com/Sierkinhane/BoxDiff

视频生成(Video Generation)

Simulating Fluids in Real-World Still Images

• Homepage: https://slr-sfs.github.io/
• Paper: https://arxiv.org/abs/2204.11335
• Code: https://github.com/simon3dv/SLR-SFS

图像编辑(Image Editing)

Multimodal Garment Designer: Human-Centric Latent Diffusion Models for Fashion Image Editing

• Paper: https://arxiv.org/abs/2304.02051
• Code: https://github.com/aimagelab/multimodal-garment-designer

视频编辑(Video Editing)

FateZero: Fusing Attentions for Zero-shot Text-based Video Editing

• Project: https://fate-zero-edit.github.io/
• Paper: https://arxiv.org/abs/2303.09535
• Code: https://github.com/ChenyangQiQi/FateZero

人体运动生成(Human Motion Generation)

BeLFusion: Latent Diffusion for Behavior-Driven Human Motion Prediction

• Paper: https://arxiv.org/abs/2211.14304
• Code: https://github.com/BarqueroGerman/BeLFusion

低光照图像增强(Low-light Image Enhancement)

Implicit Neural Representation for Cooperative Low-light Image Enhancement

• Paper: https://arxiv.org/abs/2303.11722
• Code: https://github.com/Ysz2022/NeRCo

场景文本检测(Scene Text Detection)

场景文本识别(Scene Text Recognition)

Self-supervised Character-to-Character Distillation for Text Recognition

• Paper: https://arxiv.org/abs/2211.00288
• Code: https://github.com/TongkunGuan/CCD

MRN: Multiplexed Routing Network for Incremental Multilingual Text Recognition

• Paper: https://arxiv.org/abs/2305.14758
• Code: https://github.com/simplify23/MRN
• 中文解读：https://zhuanlan.zhihu.com/p/643948935

图像检索(Image Retrieval)

Zero-Shot Composed Image Retrieval with Textual Inversion

• Paper: https://arxiv.org/abs/2303.15247
• Code: https://github.com/miccunifi/SEARLE

图像融合(Image Fusion)

DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion

• Paper: https://arxiv.org/abs/2303.06840
• Code: https://github.com/Zhaozixiang1228/MMIF-DDFM

轨迹预测(Trajectory Prediction)

EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory Forecasting

• Homepage: https://inhwanbae.github.io/publication/eigentrajectory/

• Paper: https://arxiv.org/abs/2307.09306

• Code: https://github.com/InhwanBae/EigenTrajectory

人群计数(Crowd Counting)

Point-Query Quadtree for Crowd Counting, Localization, and More

• Paper: https://arxiv.org/abs/2308.13814
• Code: https://github.com/cxliu0/PET

Video Quality Assessment(视频质量评价)

Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives

• Paper: https://arxiv.org/abs/2211.04894
• Code: https://github.com/VQAssessment/DOVER

其它(Others)

MotionBERT: A Unified Perspective on Learning Human Motion Representations

• Homepage: https://motionbert.github.io/
• Paper: https://arxiv.org/abs/2210.06551
• Code: https://github.com/Walter0807/MotionBERT

Graph Matching with Bi-level Noisy Correspondence

• Paper: https://arxiv.org/pdf/2212.04085.pdf
• Code: https://github.com/Lin-Yijie/Graph-Matching-Networks/tree/main/COMMON

LDL: Line Distance Functions for Panoramic Localization

• Paper: https://arxiv.org/abs/2308.13989
• Code: https://github.com/82magnolia/panoramic-localization

Active Neural Mapping

• Homepage: https://zikeyan.github.io/active-INR/index.html
• Paper: https://arxiv.org/abs/2308.16246
• Code: https://zikeyan.github.io/active-INR/index.html#

Reconstructing Groups of People with Hypergraph Relational Reasoning

• Paper: https://arxiv.org/abs/2308.15844
• Code: https://github.com/boycehbz/GroupRec

iccv2023-papers-with-code's Issues

ICCV 2021 paper: Dynamic Attentive Graph Learning for Image Restoration

Title - Dynamic Attentive Graph Learning for Image Restoration
Arxiv - https://arxiv.org/abs/2109.06620
Code - https://github.com/jianzhangcs/DAGL

ICCV2021- FREE: Feature Refinement for Generalized Zero-Shot Learning

ICCV2021 paper:

Title: FREE: Feature Refinement for Generalized Zero-Shot Learning
arXiv: https://arxiv.org/pdf/2107.13807.pdf
code: https://github.com/shiming-chen/FREE
topic: Zero-shot Learning | Knowledge transfer

ICCV 2021 paper: Relational Embedding for Few-Shot Classification

Hello,

Please consider including our paper "Relational Embedding for Few-Shot Classification" (https://arxiv.org/abs/2108.09666) as well as its code (https://github.com/dahyun-kang/renet) in the "Few-shot learning" category.

Have a great day! 😃

Best,
Dahyun

ICCV 21 Paper: Social NCE

• Title: Social NCE: Contrastive Learning of Socially-aware Motion Representations
• Arxiv: https://arxiv.org/abs/2012.11717
• Code: https://github.com/vita-epfl/social-nce
• Topic: Trajectory Prediction | Contrastive Learning

ICCV2021 Oral paper - Equivariant Imaging: Learning Beyond the Range Space

ICCV2021 Oral paper:

• Title: Equivariant Imaging: Learning Beyond the Range Space
• arXiv: https://arxiv.org/abs/2103.14756
• code: https://github.com/edongdongchen/EI
• topic: Self-supervised learning, Low-level vision, image reconstruction, inverse problem

ICCV 21 Paper: Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance Pooling?

Title: Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance Pooling?
Arxiv: https://arxiv.org/abs/2105.02498
Link: https://github.com/KingJamesSong/DifferentiableSVD
Topic: Backbone | Others

欢迎分享ICCV 2023 论文和代码 / Welcome to share the paper and code of ICCV 2023

[The format of the issue]
Paper name/title:
Paper link:
Code link:
keywords:

ICCV-2021 Paper: Generating Attribution Maps with Disentangled Masked Backpropagation

Title - Generating Attribution Maps with Disentangled Masked Backpropagation
Arxiv - https://arxiv.org/pdf/2101.06773.pdf
Code - https://gitlab.com/adriaruizo/dmbp_iccv21
Topic - Feature Attribution Visualization

ICCV 2023 paper: "MARS: Model-agnostic Biased Object Removal without Additional Supervision for Weakly-Supervised Semantic Segmentation"

Paper name/title: "MARS: Model-agnostic Biased Object Removal without Additional Supervision for Weakly-Supervised Semantic Segmentation"
Paper link: https://arxiv.org/abs/2304.09913
Code link: https://github.com/shjo-april/MARS

Thank you for organizing ICCV papers!

ICCV 2021 paper - Generalize then Adapt: Source-Free Domain Adaptive Semantic Segmentation

Title - Generalize then Adapt: Source-Free Domain Adaptive Semantic Segmentation
Arxiv - https://arxiv.org/abs/2108.11249
Project page - https://sites.google.com/view/sfdaseg (code link will be updated here)
Topic - Unsupervised Domain Adaptation (for Semantic Segmentation)

ICCV-2021 Paper: PIRenderer: Controllable Portrait Image Generation via Semantic Neural Rendering

分类：图像合成
代码仓库：https://github.com/RenYurui/PIRender

ICCV 2021 paper: Geometry-based Distance Decomposition for Monocular 3D Object Detection

Title: Geometry-based Distance Decomposition for Monocular 3D Object Detection
Arxiv: https://arxiv.org/abs/2104.03775
Code: https://github.com/Rock-100/MonoDet
Topic: Monocular 3D Object Detection

ICCV 21 paper: Visual Alignment Constraint for Continuous Sign Language Recognition

Title: Visual Alignment Constraint for Continuous Sign Language Recognition
Arxiv: https://arxiv.org/abs/2104.02330
Code: https://github.com/ycmin95/VAC_CSLR
Topic: Sign Language Recognition | Sequence Learning | Action Recognition

ICCV21 paper: PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop

Hi, thanks for gathering papers with code! Please add our paper:

Title: PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop
Paper (Oral): https://arxiv.org/abs/2103.16507
Code: https://github.com/HongwenZhang/PyMAF
Homepage: https://hongwenzhang.github.io/pymaf

Thanks.

ICCV 21 paper: VLGrammar: Grounded Grammar Induction of Vision and Language

Can you kindly add my paper?

Yining Hong; Qing Li; Song-Chun Zhu; Siyuan Huang, "VLGrammar: Grounded Grammar Induction of Vision and Language", ICCV2021

pdf: https://arxiv.org/abs/2103.12975
code: https://github.com/evelinehong/VLGrammar

ICCV-2021 Paper: Image Classification and Depth Estimation in extreme low-light

ICCV 2021: Photon-Starved Scene Inference using Single Photon Cameras

Paper: https://openaccess.thecvf.com/content/ICCV2021/papers/Goyal_Photon-Starved_Scene_Inference_Using_Single_Photon_Cameras_ICCV_2021_paper.pdf

Code: https://github.com/bhavyagoyal/spclowlight

ICCV-2021 Paper: Perception-Aware Multi-Sensor Fusion for 3D LiDAR Semantic Segmentation

Category: 3D Semantic Segmentation(3D语义分割)

Paper: https://openaccess.thecvf.com/content/ICCV2021/papers/Zhuang_Perception-Aware_Multi-Sensor_Fusion_for_3D_LiDAR_Semantic_Segmentation_ICCV_2021_paper.pdf

Code: https://github.com/ICEORY/PMF

Thank you~

ICCV 2021 paper: Fine-grained Semantics-aware Representation Enhancement for Self-supervised Monocular Depth Estimation

Title: Fine-grained Semantics-aware Representation Enhancement for Self-supervised Monocular Depth Estimation
ICCV 2021, Oral

Topic: Depth Estimation (monocular, self-supervised)
Code: https://github.com/hyBlue/FSRE-Depth
arXiv: https://arxiv.org/abs/2108.08829

Thanks!

ICCV-2021 Paper: Zen-NAS: A Zero-Shot NAS for High-Performance Deep Image Recognition

Paper and Code: https://github.com/idstcv/ZenNAS

Thank you very much!

ICCV-2021 Paper: Instance Segmentation in 3D Scenes Using Semantic Superpoint Tree Networks

Category: 3D Instance Segmentation(3D实例分割)

Paper: https://openaccess.thecvf.com/content/ICCV2021/html/Liang_Instance_Segmentation_in_3D_Scenes_Using_Semantic_Superpoint_Tree_Networks_ICCV_2021_paper.html

Code: https://github.com/Gorilla-Lab-SCUT/SSTNet

Thank you~

ICCV 2021 Paper

Title

• Self-Supervised Representation Learning from Flow Equivariance
• https://arxiv.org/abs/2101.06553

Code

• Not available

ICCV Paper: IDM: An Intermediate Domain Module for Domain Adaptive Person Re-ID

Hi, thanks for your collections! Please add our paper:

Paper (ICCV 2021 Oral): https://arxiv.org/abs/2108.02413
Code: https://github.com/SikaStar/IDM

Thanks!

ICCV 2021 paper: LSG-CPD: Coherent Point Drift with Local Surface Geometry for Point Cloud Registration

paper:
https://openaccess.thecvf.com/content/ICCV2021/papers/Liu_LSG-CPD_Coherent_Point_Drift_With_Local_Surface_Geometry_for_Point_ICCV_2021_paper.pdf

codes:
https://github.com/ChirikjianLab/LSG-CPD.git

topic:
Point Cloud Registration

Thx for your work!

ICCV2021 paper: Neural Articulated Radiance Field

Title - Neural Articulated Radiance Field
Arxiv - https://arxiv.org/abs/2104.03110
Project page (with code) - https://github.com/nogu-atsu/NARF
Topic - NeRF

ICCV-paper:Enhanced Boundary Learning for Glass-like Object Segmentation

Paper: https://arxiv.org/abs/2103.15734
Code: https://github.com/hehao13/EBLNet.

Code will be opensourced soon.

ICCV-2021 Paper: Few Shot Visual Relationship Co-Localization

Title - Few Shot Visual Relationship Co-Localization
Arxiv - https://arxiv.org/abs/2108.11618
Project page (with code) -https://vl2g.github.io/projects/vrc/
Topic - Few-Shot Learning

ICCV 2021 paper: RINDNet: Edge Detection for Discontinuity in Reflectance, Illumination, Normal and Depth

Title: RINDNet: Edge Detection for Discontinuity in Reflectance, Illumination, Normal and Depth
Arxiv: https://arxiv.org/abs/2108.00616
Dataset and Code: https://github.com/MengyangPu/RINDNet
Topic: Edge Detection

ICCV 2021 paper: Conditional DETR for Fast Training Convergence

Hi,
Official code of our paper "Conditional DETR for Fast Training Convergence" (https://arxiv.org/abs/2108.06152) has been released, please see https://github.com/Atten4Vis/ConditionalDETR

Hope you can add this link to your README file,
thanks.

Topic:
Transformer, Object Detection

ICCV2021 paper: Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition

Title: Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition
arxiv: https://arxiv.org/abs/2107.12213
code: https://github.com/Uason-Chen/CTR-GCN
topic: action recognition

ICCV2021 Oral paper: GNeRF: GAN-based Neural Radiance Field without Posed Camera

ICCV2021 Oral paper:

Title: GNeRF: GAN-based Neural Radiance Field without Posed Camera
arXiv: https://arxiv.org/abs/2103.15606
code: https://github.com/MQ66/gnerf
topic: NeRF

ICCV 21 paper: Residual Attention: A Simple but Effective Method for Multi-Label Recognition

Hi,
Official code of has been released, see https://github.com/Kevinz-code/CSRA.git

Hope you can add this link to your README file ,
thanks.

ICCV-2021 Paper: Where are you heading? Dynamic Trajectory Prediction with Expert Goal Examples

Paper and Code: Link

Thanks

ICCV 2021 paper: Multitask AET with Orthogonal Tangent Regularity for Dark Object Detection

Please add ICCV 2021 paper: Multitask AET with Orthogonal Tangent Regularity for Dark Object Detection,
paper: https://openaccess.thecvf.com/content/ICCV2021/papers/Cui_Multitask_AET_With_Orthogonal_Tangent_Regularity_for_Dark_Object_Detection_ICCV_2021_paper.pdf
code:
https://github.com/cuiziteng/MAET

Another work on Self-Supervised Learning

Hi @amusi, thanks for creating this list!  

We have a paper on self-supervised pre-training on point cloud accepted by ICCV this year.
It would be so nice of you to include our work :)

Project Page: https://hansen7.github.io/OcCo/
Code: https://github.com/hansen7/OcCo
Paper: https://arxiv.org/abs/2010.01089

ICCV 2021 paper: Influence Selection for Active Learning

paper:
https://arxiv.org/abs/2108.09331
https://openaccess.thecvf.com/content/ICCV2021/papers/Liu_Influence_Selection_for_Active_Learning_ICCV_2021_paper.pdf

codes:
https://github.com/dragonlzm/ISAL

topic:
2D目标检测(Object Detection)

Thx for your work!

ICCV 2021 paper: Deep Symmetric Network for Underexposed Image Enhancement with Recurrent Attentional Learning

Title: Deep Symmetric Network for Underexposed Image Enhancement with Recurrent Attentional Learning
Code: https://github.com/lin-zhao-resoLve/Deep-Symmetric-Network-Enhancement
Topic: Image Enhancement, Image Restoration

ICCV 2021 oral paper: Generalized Shuffled Linear Regression

Hi, Thank you for creating this!
Would you like to kindly add our ICCV 2021 oral paper: Generalized Shuffled Linear Regression

Code and paper: https://github.com/SILI1994/Generalized-Shuffled-Linear-Regression
Topic: Others, point cloud registration.

ICCV2021: Self-Conditioned Probabilistic Learning of Video Rescaling

ICCV2021 paper:

Title: Self-Conditioned Probabilistic Learning of Video Rescaling
arXiv: https://arxiv.org/pdf/2107.11639.pdf
code: Under organizing
topic: Video Rescaling | Video Compression

ICCV 2021 paper CPF: Learning a Contact Potential Field to Model the Hand-Object Interaction

ICCV2021 paper:

Title: CPF: Learning a Contact Potential Field to Model the Hand-Object Interaction
arXiv: https://arxiv.org/pdf/2012.00924.pdf
code: https://lixiny.github.io/CPF
topic: Hand-Object

ICCV 2021 paper: Manifold Matching via Deep Metric Learning for Generative Modeling

Title: Manifold Matching via Deep Metric Learning for Generative Modeling
arXiv: https://arxiv.org/abs/2106.10777
Code: https://github.com/dzld00/pytorch-manifold-matching
Topic: Geometric deep learning | GAN

ICCV 2021 paper: Learning Conditional Knowledge Distillation for Degraded-Reference Image Quality Assessment

Title: Learning Conditional Knowledge Distillation for Degraded-Reference Image Quality Assessment
Arxiv: https://arxiv.org/abs/2108.07948
Code: https://github.com/researchmm/CKDN
Topic: Image Quality Assessment, Image Restoration

ICCV2021 Paper: Semantics Disentangling for Generalized Zero-Shot Learning

Paper: https://arxiv.org/pdf/2101.07978
Code: https://github.com/uqzhichen/SDGZSL

ICCV 2023 paper: PoseDiffusion: Solving Pose Estimation via Diffusion-aided Bundle Adjustment

Paper name/title: PoseDiffusion: Solving Pose Estimation via Diffusion-aided Bundle Adjustment
Paper link: https://arxiv.org/pdf/2306.15667.pdf
Code link: https://github.com/facebookresearch/PoseDiffusion

Topic: Diffusion model / Structure from Motion (SfM)
Personally I think SfM is a more appropriate field for this paper though I did not find it in the readme file :)

Thanks for maintaining such a repository.

ICCV 2021 Paper: Towards Flexible Blind JPEG Artifacts Removal

Paper: https://arxiv.org/pdf/2109.14573.pdf
Code: https://github.com/jiaxi-jiang/FBCNN

Please add our paper

Hand-Object Contact Consistency Reasoning for Human Grasps Generation (accepted as Oral)

Project page: https://hwjiang1510.github.io/GraspTTA/
Arxiv: https://arxiv.org/pdf/2104.03304.pdf
Topic: 3D vision, affordance reasoning, pose estimation

ICCV-2021 Paper: Complementary Patch for Weakly Supervised Semantic Segmentation

The code has been released in https://github.com/Ferenas/CPN.
Thanks!

ICCV 2021 paper: Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain

Hi,
Official code of our paper "Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain" (https://arxiv.org/abs/2108.08487) has been released, please see https://github.com/iCGY96/APR

Hope you can add this link to your README file,
thanks.

Topic:
Others

ICCV 21 paper: Fast Convergence of DETR with Spatially Modulated Co-Attention

Fast Convergence of DETR with Spatially Modulated Co-Attention

https://arxiv.org/abs/2101.07448

https://github.com/abc403/SMCA-replication

ICCV 2021 paper: TRAR: Routing the Attention Spans in Transformer for Visual Question Answering

Thanks for adding our ICCV 2021 paper~

• Paper: https://openaccess.thecvf.com/content/ICCV2021/papers/Zhou_TRAR_Routing_the_Attention_Spans_in_Transformer_for_Visual_Question_ICCV_2021_paper.pdf

• Code: https://github.com/rentainhe/TRAR-VQA

• Topic: Visual Question Answering

ICCV2021 Paper: RangeDet: In Defense of Range View for LiDAR-based 3D Object Detection

Paper
Code
Topic: 3D point cloud detection