steven-xiong Goto Github PK

3ditscene

3DitScene: Editing Any Scene via Language-guided Disentangled Gaussian Splatting

academic

acvnet

[CVPR 2022] ACVNet: Attention Concatenation Volume for Accurate and Efficient Stereo Matching

anydoor

Official implementations for paper: Anydoor: zero-shot object-level image customization

attention-mask-control

code for paper "Compositional Text-to-Image Synthesis with Attention Map Control of Diffusion Models"

awesome-controllable-generation

Papers and resources on Controllable Generation using Diffusion Models, including ControlNet, DreamBooth, T2I-Adapter, IP-Adapter.

awesome-diffusion-categorized

collection of diffusion model papers categorized by their subareas

awesome-transformer-attention

An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

behindthescenes

Official implementation of the paper: Behind the Scenes: Density Fields for Single View Reconstruction (CVPR 2023)

boxdiff

[ICCV 2023] BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion

bridgedepthflow

Bridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence, CVPR 2019

canonicalsg2im

Code for "Learning Canonical Representations for Scene Graph to Image Generation", Herzig & Bar et al., ECCV2020

clean-fid

PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]

comogan

CoMoGAN: continuous model-guided image-to-image translation. CVPR 2021 oral.

controlnet

Let us control diffusion models!

crestereo-pytorch

Non-official Pytorch implementation of the CREStereo(CVPR 2022 Oral).

croco

cross_view_transformers

Cross-view Transformers for real-time Map-view Semantic Segmentation (CVPR 2022 Oral)

cs_project

CSE559A project

custom-diffusion

Custom Diffusion: Multi-Concept Customization of Text-to-Image Diffusion (CVPR 2023)

customnet

cv

cvpr23_lfdm

The pytorch implementation of our CVPR 2023 paper "Conditional Image-to-Video Generation with Latent Flow Diffusion Models"

cycle-diffusion

[ICCV 2023] A latent space for stochastic diffusion models

datasetdm

[NeurIPS2023] DatasetDM:Synthesizing Data with Perception Annotations Using Diffusion Models

ddp

diffusion for dense prediction

densediffusion

Official Pytorch Implementation of DenseDiffusion (ICCV 2023)

densematching

Dense matching library based on PyTorch

depth-anything

[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

diffbev

Official PyTorch implementation for a conditional diffusion probability model in BEV perception