sstojanov's Stars
kentaroy47/vision-transformers-cifar10
Let's train vision transformers (ViT) for cifar 10!
liuyuan-pal/Gen6D
[ECCV2022] Gen6D: Generalizable Model-Free 6-DoF Object Pose Estimation from RGB Images
elicassion/3DTRL
Code for NeurIPS 2022 paper "Learning Viewpoint-Agnostic Visual Representations by Recovering Tokens in 3D Space"
google-deepmind/tapnet
Tracking Any Point (TAP)
aharley/pips
Particle Video Revisited
rdangovs/essl
princeton-vl/Coupled-Iterative-Refinement
Simple-Robotics/cosypose
Code for "CosyPose: Consistent multi-view multi-object 6D pose estimation", ECCV 2020.
ubc-vision/COTR
Code release for "COTR: Correspondence Transformer for Matching Across Images"(ICCV 2021)
salesforce/PCL
PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"
imankgoyal/NonDeepNetworks
Official Code for "Non-deep Networks"
facebookresearch/msn
Masked Siamese Networks for Label-Efficient Learning (https://arxiv.org/abs/2204.07141)
alexatartaglini/developmental-shape-bias
Zhengxinyang/SDF-StyleGAN
wangshusen/DeepLearning
ShirAmir/dino-vit-features
Official implementation for the paper "Deep ViT Features as Dense Visual Descriptors".
neuroailab/EISEN
3b1b/manim
Animation engine for explanatory math videos
CompVis/stable-diffusion
A latent text-to-image diffusion model
WXinlong/DenseCL
Dense Contrastive Learning (DenseCL) for self-supervised representation learning, CVPR 2021 Oral.
huggingface/diffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
zxhuang1698/cat-3d
magicleap/SuperGluePretrainedNetwork
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
KMnP/vpt
❄️🔥 Visual Prompt Tuning [ECCV 2022] https://arxiv.org/abs/2203.12119
michaelgutmann/ml-pen-and-paper-exercises
Pen and paper exercises in machine learning
kuprel/min-dalle
min(DALL·E) is a fast, minimal port of DALL·E Mini to PyTorch
google-research/kubric
A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.
MkuuWaUjinga/leopart
rogerallen/raytracinginoneweekendincuda
The code for the ebook Ray Tracing in One Weekend by Peter Shirley translated to CUDA by Roger Allen. This work is in the public domain.
rehg-lab/pulseimpute
Code for PulseImpute Challenge