kopetri Goto Github PK

anysoftkeyboard

arc

CVPR 2020 "Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real Domain Shift and Improve Depth Estimation"

bts

From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

civitai

A python wrapper for the civitai.com API

crowdsourceannotation

dashboard-smart-home

StartBootstrap SB Admin rebuilt using Svelte + Sveltestrap

deep-photo-styletransfer

Code and data for paper "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511

dictator

Adds a dictionary to Atom.io for inline translation

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.

dorn_pytorch

PyTorch implementation of Deep Ordinal Regression Network for Monocular Depth Estimation

fcrn_pytorch

Pytorch Implementation of Deeper Depth Prediction with Fully Convolutional Residual Networks

glengine

Rendering Engine using C++ and OpenGL

horizonnet

Pytorch implementation of HorizonNet: Learning Room Layout with 1D Representation and Pano Stretch Data Augmentation.

hpsv2

Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis

human_viewpoint_metric

humanviewpointdiffusion

image-segmentation-keras

Implementation of Segnet, FCN, UNet and other models in Keras.

imagereward

[NeurIPS 2023] ImageReward: Learning and Evaluating Human Preferences for Text-to-image Generation

inviwo

Inviwo - Interactive Visualization Workshop

inviwo-lionman

Inviwo - Interactive Visualization Workshop

junction2016

Super Awesome Junction Code

keras-retinanet

Keras implementation of RetinaNet object detection.

keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)

lab1

muc lab1

lab2

Lab2

lab3

Mobile and ubiqutous computing lab3

lavis

LAVIS - A One-stop Library for Language-Vision Intelligence

layoutnetv2

PyTorch implementation of our IJCV paper: "Manhattan Room Layout Reconstruction from a Single 360 image: A Comparative Study of State-of-the-art Methods"

lucid

A collection of infrastructure and tools for research in neural network interpretability.

midas_pytorch

Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, arXiv:1907.01341"