ZaiqiangWu's repositories
pba-ZaiqiangWu
pba-ZaiqiangWu created by GitHub Classroom
blender-cli-rendering
Blender Python scripts for rendering images directly from command-line interface
Codim-IPC
Source Codes for Codimensional Incremental Potential Contact (C-IPC)
CSC417-a1-mass-spring-1d
Assignment 1 on one-dimensional mass spring systems for CSC2549, at the University of Toronto
CSC417-a2-mass-spring-3d
Assignment 2 for CSC2549
CSC417-a3-finite-elements-3d
The finite element method for 3D elastic objects
CSC417-a4-cloth-simulation
Cloth simulation using co-rotational linear elasticity
CycleGAN-PyTorch
A very simple implementation of cyclegan, which is based on pytorch.
FashionFormer
Code for our ECCV-2022 work: Fashionformer A simple, effective and unified baseline for human fashion segmentation and recognition
FGT
[ECCV 2022] Flow-Guided Transformer for Video Inpainting
games106
现代图形绘制流水线原理与实践，作业框架。
GLCIC-PyTorch
A High-Quality PyTorch Implementation of "Globally and Locally Consistent Image Completion".
Graphonomy
Graphonomy: Universal Human Parsing via Graph Transfer Learning
HR-VITON
Official PyTorch implementation for the paper High-Resolution Virtual Try-On with Misalignment and Occlusion-Handled Conditions (ECCV 2022).
Linux-WiFi-Manager
This Bash script simplifies the process of connecting to Wi-Fi networks on a Linux system with NetworkManager.
magic-animate
[CVPR 2024] MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model
Multi-Task-Transformer
Code of ICLR2023 paper "TaskPrompter: Spatial-Channel Multi-Task Prompting for Dense Scene Understanding" and ECCV2022 paper "Inverted Pyramid Multi-task Transformer for Dense Scene Understanding"
OOTDiffusion
Official implementation of OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-on
OpenVoice
Instant voice cloning by MyShell.
peridyno
An AI-targeted physical simulation platform.
ROMP
Monocular, One-stage, Regression of Multiple 3D People, ROMP[ICCV21], BEV[CVPR22]
Segment-and-Track-Anything
An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.
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.
semantic-diffusion-model
Official Implementation of Semantic Image Synthesis via Diffusion Models
stable-diffusion
Latent Text-to-Image Diffusion
ToyDiffusion
1-D Toy Diffusion model written in pure Pytorch
TryYours-Virtual-Try-On
Virtual Try On site using HR-VITON. Anyone can try it using their own Image with clothes image.