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National University of Singapore
- Singapore
- https://zenghaochai.com
Highlights
- Pro
Stars
Code for rendering the point cloud figures in paper: "PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows"
Open-source Multi-agent Poster Generation from Papers
A vector-quantized periodic autoencoder (VQ-PAE) for motion alignment across different morphologies with no supervision [SIGGRAPH 2024]
Official repo for PhysAvatar: Learning the Physics of Dressed 3D Avatars from Visual Observations, ECCV 2024
A novel 4D reconstruction method that directly generates high-quality, animation-ready 4D mesh asset (.GLB file) from a single monocular video.
[ECCV 2024] Towards High-Quality 3D Motion Transfer with Realistic Apparel Animation - MMDMC Dataset
Official implementation of "HumanRig: Learning Automatic Rigging for Humanoid Character in a Large Scale Dataset"
[ICLR 2025] EdgeRunner: Auto-regressive Auto-encoder for Efficient Mesh Generation
[CVPR2025] AnyMoLe: Any Character Motion In-betweening Leveraging Video Diffusion Models
[NeurIPS 2023] Michelangelo: Conditional 3D Shape Generation based on Shape-Image-Text Aligned Latent Representation
[CVPR 2025] Official repository for “MagicArticulate: Make Your 3D Models Articulation-Ready”
Official Implementation of paper "Disentangled Clothed Avatar Generation from Text Descriptions"
(SIGGRAPH Asia 2024) This is the official PyTorch implementation of SIGGRAPH Asia 2024 paper: DrawingSpinUp: 3D Animation from Single Character Drawings
[ICLR 2025] From anything to mesh like human artists. Official impl. of "MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers"
CVPR 2024, Hybrid Functional Maps for Crease-Aware Non-Isometric Shape Matching
Official code for NeurIPS 2024 paper LRM-Zero: Training Large Reconstruction Models with Synthesized Data
[ICCV 2021] A dataset of non-rigidly deforming objects.
[IJCV 2024] InterGen: Diffusion-based Multi-human Motion Generation under Complex Interactions
(SIGGRAPH 2024) Official repository for "Taming Diffusion Probabilistic Models for Character Control"
[CVPR 2024] PIE-NeRF🍕: Physics-based Interactive Elastodynamics with NeRF
CraftsMan: High-fidelity Mesh Generation with 3D Native Diffusion and Interactive Geometry Refiner
CLAY: A Controllable Large-scale Generative Model for Creating High-quality 3D Assets
Segment Anything in 3D with NeRFs (NeurIPS 2023 & IJCV 2025)
https://liuar0512.github.io/part123_official_page/