luisdavid64

NodeFormer

The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification"

TextDeformer

SoftRas

Project page of paper "Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning"

mojo

The Mojo Programming Language

super-gradients

Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.

differentiable-sdf-rendering

Source code for "Differentiable Signed Distance Function Rendering" (Siggraph 2022)

text2mesh

3D mesh stylization driven by a text input in PyTorch

TEXTurePaper

Official Implementation for "TEXTure: Text-Guided Texturing of 3D Shapes"

nerfstudio

A collaboration friendly studio for NeRFs

ARKitScenes

This repo accompanies the research paper, ARKitScenes - A Diverse Real-World Dataset for 3D Indoor Scene Understanding Using Mobile RGB-D Data and contains the data, scripts to visualize and process assets, and training code described in our paper.

SN-Net

[CVPR 2023 Highlight] This is the official implementation of "Stitchable Neural Networks".

consistency_models

Official repo for consistency models.

IntrinsicFlashPhotography

zero-shot-counting

CVPR2023 Zero-shot Counting

DAFlow

DeepFashion-MultiModal

A large-scale high-quality human dataset with rich multi-modal annotations

3D-GCL

GroundingDINO

[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

dinov2

PyTorch code and models for the DINOv2 self-supervised learning method.

DensePose

A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

DOC-VTON

Official code for DOC-VTON. We provide visualization results of Awesome Virtual Tryon. Besides, we provide auxiliary data of VITON and VITON-HD for training and testing.

Flow-Style-VTON

latent-diffusion

High-Resolution Image Synthesis with Latent Diffusion Models

Awesome-Diffusion-Models

A collection of resources and papers on Diffusion Models

diffusion

Denoising Diffusion Probabilistic Models

awesome-virtual-try-on

A curated list of awesome research papers, projects, code, dataset, workshops etc. related to virtual try-on.

VITON-HD

Official PyTorch implementation of "VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalization" (CVPR 2021)

magicmix

Unofficial Implementation of MagicMix

VITON

Code and dataset for paper "VITON: An Image-based Virtual Try-on Network"

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.