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The University of Hong Kong
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04:42
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[ICLR 2026] PartSAM: A Scalable Promptable Part Segmentation Model Trained on Native 3D Data
MATStruct: High-Quality Medial Mesh Computation via Structure-aware Variational Optimization (SIGGRAPH Asia 2025)
FlashMesh: Faster and Better Autoregressive Mesh Synthesis via Structured Speculation
PyTorch implementation of Neural Dual Contouring.
Reference implementation for DPO (Direct Preference Optimization)
Official Implementation of "Splat the Net: Radiance Fields with Splattable Neural Primitives"
Code release for CVPR 2025 paper "Textured Gaussians for Enhanced 3D Scene Appearance Modeling".
[3DV 2026] FastMesh: Efficient Artistic Mesh Generation via Component Decoupling
Official code of paper: MeshMosaic: Scaling Artist Mesh Generation via Local-to-Global Assembly.
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
[ICLR 2025] Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling
[SIGGRAPH Asia 2025] 4DSloMo: 4D Reconstruction for High Speed Scene with Asynchronous Capture
Fast and memory-efficient exact attention
From Images to High-Fidelity 3D Assets with Production-Ready PBR Material
High-Resolution 3D Assets Generation with Large Scale Hunyuan3D Diffusion Models.
[NeurIPS 2025 Spotlight] A Native Multimodal LLM for 3D Generation and Understanding
Dropbox Uploader is a BASH script which can be used to upload, download, list or delete files from Dropbox, an online file sharing, synchronization and backup service.
Mesh Silksong: Auto-Regressive Mesh Generation as Weaving Silk
[CVPR 2025 Best Paper Award] VGGT: Visual Geometry Grounded Transformer
NeurCross: A Neural Approach to Computing Cross Fields for Quad Mesh Generation
A curated list of awesome Neural Computer-Aided Design (CAD) papers.
Instead of downloading the entire 8.9 TB dataset, download only files you need!
The code accompanying the paper "Developability of Triangle Meshes" by Oded Stein, Eitan Grinspun and Keenan Crane
A Modern C++20 Library of Unified Incremental Potential Contact.