Zhengdi Yu
ZhengdiYu
PhD student at Imperial College London
Languages
Repos
36
Stars
645
Forks
69
Top Language
Python
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Top Repositories
🔥(CVPR 2023) ACR: Attention Collaboration-based Regressor for Arbitrary Two-Hand Reconstruction
🔥(CVPR 2025 Highlight) Dyn-HaMR: Recovering 4D Interacting Hand Motion from a Dynamic Camera
(ECCV 2024) SignAvatars: A Large-scale 3D Sign Language Holistic Motion Dataset and Benchmark
RangeUDF: Semantic Surface Reconstruction from 3D Point Clouds
Repositories
36🔥(CVPR 2025 Highlight) Dyn-HaMR: Recovering 4D Interacting Hand Motion from a Dynamic Camera
(ECCV 2024) SignAvatars: A Large-scale 3D Sign Language Holistic Motion Dataset and Benchmark
🔥(CVPR 2023) ACR: Attention Collaboration-based Regressor for Arbitrary Two-Hand Reconstruction
No description provided.
[CVPR2025] Hand-held Object Reconstruction from RGB Video with Dynamic Interaction
No description provided.
No description provided.
P2-Net: Joint Description and Detection of Local Features for Pixel and Point Matching
RangeUDF: Semantic Surface Reconstruction from 3D Point Clouds
Personal website for Zhengdi Yu
High-Resolution 3D Assets Generation with Large Scale Hunyuan3D Diffusion Models.
[CVPR 2025] InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation
[CVPR 2025] InteractVLM: 3D Interaction Reasoning from 2D Foundational Models
[ArXiv 2025] This repo is official PyTorch implementation of the paper "Learning Dense Hand Contact Estimation from Imbalanced Data".
No description provided.
Text to pose model for sign language pose generation from a text sequence
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HaMeR: Reconstructing Hands in 3D with Transformers
A generative world for general-purpose robotics & embodied AI learning.
collect papers about human motion capture
Parallelized triangle mesh --> continuous signed distance field on CPU
TFDS data loaders for sign language datasets.
This is the codebase for SHOW in Generating Holistic 3D Human Motion from Speech [CVPR2023],
Official implementation for "Ham2Pose: Animating Sign Language Notation into Pose Sequences" [CVPR 2023]
Monocular, One-stage, Regression of Multiple 3D People, ROMP[ICCV21], BEV[CVPR22]
Interacting Two-Hand 3D Pose and Shape Reconstruction from Single Color Image (ICCV 2021)
ECON: Explicit Clothed humans Obtained from Normals (CVPR 2023)
Code for ICCV2021 paper PARE: Part Attention Regressor for 3D Human Body Estimation
The is an implementation of the AccurateACL paper.