- Zhejiang, China
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This is a list of relevant papers for 3D Geometric Foundation Models and Applications.
Implementation of the DINOv2 perceptual loss from the PercHead paper [CVPR '26]
HumanNOVA: Photorealistic, Universal and Rapid 3D Human Avatar Modeling from a Single Image (CVPR 2026 Highlight)
TripoSplat converts a single 2D image into high-quality and variable number of 3D Gaussians, developed by TripoAI.
[CVPR '26] FlexAvatar: Learning Complete 3D Head Avatars with Partial Supervision
Official Implementation of the Paper:Motion-example-controlled Co-speech Gesture Generation Leveraging Large Language Models (Siggraph 2025)
Official Implementation of the Paper: EchoAvatar: Real-time Generative Avatar Animation from Audio Streams (Siggraph 2026)
Grid-Free Monte Carlo Solvers for Physics Simulations Involving Partial Differential Equations
Official implementation of paper "VLM³: Vision Language Models Are Native 3D Learners".
For CVPR26 pub open source of Skullptor
The implementation of GES (When Gaussian Meets Surfel: Ultra-fast High-fidelity Radiance Field Rendering)
Official implementation of Gaussian point splatting (SIGGRAPH'26)
Official Pytorch Code of the Paper "FashionChameleon: Towards Real-Time and Interactive Human-Garment Video Customization"
Welcome to GR00T Whole-Body Control (WBC)! This is a unified platform for developing and deploying advanced humanoid controllers. This includes: Decoupled WBC models used in NVIDIA Isaac-Gr00t, Gr0…
Reimplementation of LoGeR: Long-Context Geometric Reconstruction with Hybrid Memory
[CVPR 2026] ZipMap: Linear-Time Stateful 3D Reconstruction via Test-Time Training
Cuda-Based Software Rasterization for Billions of Triangles
[CVPR 2026 (Highlight)] Scal3R: Scalable Test-Time Training for Large-Scale 3D Reconstruction
[ICLR 2026] NOVA3R: Non-pixel-aligned Visual Transformer for Amodal 3D Reconstruction
Monocular whole-body 3D human pose estimation using the SOMA body model
Code of Strips as Tokens: Artist Mesh Generation with Native UV Segmentation. ACM Transactions on Graphics (SIGGRAPH 2026)
Implementation of Fast Weight Attention
Skill package for ML/CV/NLP paper writing, curated and adapted from Prof. Peng Sida's open notes for Codex, Claude Code, and Gemini.