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zeng-yifei's Projects

ai4animation icon ai4animation

Bringing Characters to Life with Computer Brains in Unity

avatarbooth icon avatarbooth

Official implementation of “AvatarBooth: High-Quality and Customizable 3D Human Avatar Generation”

avatarclip icon avatarclip

[SIGGRAPH 2022 Journal Track] AvatarCLIP: Zero-Shot Text-Driven Generation and Animation of 3D Avatars

dancerevolution icon dancerevolution

Code for ICLR 2021 paper Dance Revolution: Long-Term Dance Generation with Music via Curriculum Learning

deep-motion-editing icon deep-motion-editing

An end-to-end library for editing and rendering motion of 3D characters with deep learning [SIGGRAPH 2020]

deepmulticap icon deepmulticap

This repository is the official implementation of DeepMultiCap: Performance Capture of Multiple Characters Using Sparse Multiview Cameras.

econ icon econ

ECON: Explicit Clothed humans Obtained from Normals (arXiv 2022)

gc-san icon gc-san

An implementation trying to reproduce "Graph contextualized self-attention network for session-based recommendation" based on SR-GNN code.

human-pose-estimation.pytorch icon human-pose-estimation.pytorch

The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"

informer2020 icon informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

nerfmeshes icon nerfmeshes

A pipeline to reconstruct 3d meshes based on Neural Radiance Fields

nvds icon nvds

The official repository of the ICCV2023 paper "Neural Video Depth Stabilizer" (NVDS).

ppg_tacotron icon ppg_tacotron

An implementation of deep-voice-conversion using pytorch

proxygml icon proxygml

Official PyTorch Implementation of ProxyGML Loss for Deep Metric Learning, NeurIPS 2020 (spotlight)

pytorch-human-pose-estimation icon pytorch-human-pose-estimation

Implementation of various human pose estimation models in pytorch on multiple datasets (MPII & COCO) along with pretrained models

romp icon romp

Monocular, One-stage, Regression of Multiple 3D People, ROMP[ICCV21], BEV[CVPR22]

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