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3dgp

3D generation on ImageNet [ICLR 2023]

3dvideos2stereo

Code to extract stereo frame pairs from 3D videos, as used in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, arXiv:1907.01341"

accelerator-simple-template

This is a simple template using HuggingFace Accelerator for DDP-training/Saving/Loading/Pushing.

adelaidepth

This repo contains the projects: 'Virtual Normal', 'DiverseDepth', and '3D Scene Shape'. They aim to solve the monocular depth estimation, 3D scene reconstruction from single image problems.

audio2photoreal

Code and dataset for photorealistic Codec Avatars driven from audio

beginners-pytorch-deep-learning

Repository for scripts and notebooks from the book: Beginner’s Guide to Using PyTorchfor Deep Learning

blendedmvs

BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo Networks

boostingmonoculardepth

brain-segmentation-pytorch

U-Net implementation in PyTorch for FLAIR abnormality segmentation in brain MRI

bts

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

cityscapesscripts

README and scripts for the Cityscapes Dataset

cocoapi

COCO API - Dataset @ http://cocodataset.org/

codeformer

[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer

composer

library of algorithms to speed up neural network training

dataset-api

The ApolloScape Open Dataset for Autonomous Driving and its Application.

deeplearningexamples

Deep Learning Examples

depth-anything

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

dex-net

Repository for reading the Dex-Net 2.0 HDF5 database of 3D objects, parallel-jaw grasps, and robust grasp metrics

diffustereo

This repository is the official implementation of DiffuStereo: High Quality Human Reconstruction via Diffusion-based Stereo Using Sparse Cameras.

dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

dpt

Dense Prediction Transformers

efficientvit

EfficientViT is a new family of vision models for efficient high-resolution vision.

eg3d

esnet

fast-rcnn

Fast R-CNN

fcn-pytorch

🚘 Easiest Fully Convolutional Networks

fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

fcn.pytorch

ffhq-dataset

Flickr-Faces-HQ Dataset (FFHQ)

flownet2-pytorch

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks