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Beijing University of Posts and Telecommunications
- Beijing, China
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Native and Compact Structured Latents for 3D Generation
Order Matters: 3D Shape Generation from Sequential VR Sketches
[ICML 2023] Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining
[CVPR 2022] Pre-Training 3D Point Cloud Transformers with Masked Point Modeling
official code of “OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding”
Implementation of MeshPad: Interactive Sketch-Conditioned Artist-Reminiscent Mesh Generation and Editing
The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that sho…
🎯 告别信息过载,AI 助你看懂新闻资讯热点,简单的舆情监控分析 - 多平台热点聚合+基于 MCP 的AI分析工具。监控35个平台(抖音、知乎、B站、华尔街见闻、财联社等),智能筛选+自动推送+AI对话分析(用自然语言深度挖掘新闻:趋势追踪、情感分析、相似检索等13种工具)。支持企业微信/个人微信/飞书/钉钉/Telegram/邮件/ntfy/bark/slack 推送,1分钟手机通知,无需…
A modern GUI client based on Tauri, designed to run in Windows, macOS and Linux for tailored proxy experience
Official Repo for CVPR 2024 Paper "FACT: Frame-Action Cross-Attention Temporal Modeling for Efficient Fully-Supervised Action Segmentation"
AutoDL平台服务器适配梯子, 使用 Clash 作为代理工具
《动手学大模型Dive into LLMs》系列编程实践教程
Hunyuan 3D Part Segmentation and Generation Pipeline
Hunyuan3D-Omni: A Unified Framework for Controllable Generation of 3D Assets
Code release of "Assembler: Scalable 3D Part Assembly via Anchor Point Diffusion".
[CVPR'24 Best Student Paper] Mip-Splatting: Alias-free 3D Gaussian Splatting
🥢像老乡鸡🐔那样做饭。主要部分于2024年完工,非老乡鸡官方仓库。文字来自《老乡鸡菜品溯源报告》,并做归纳、编辑与整理。CookLikeHOC.
Official code for the paper Coverage Axis: Inner Point Selection for 3D Shape Skeletonization, Eurographics 2022.
A sparse attention kernel supporting mix sparse patterns
[NeurIPS 2025 D&B] Open-source Multi-agent Poster Generation from Papers
致力于维护一个包含全部中文字符(汉字+符号)的字符集,包罗万象,含3500 / 7000 常用汉字集、常用符号集。A Charater Set contains all Chinese charaters.
codes for R-Zero: Self-Evolving Reasoning LLM from Zero Data (https://www.arxiv.org/pdf/2508.05004)
gpt-oss-120b and gpt-oss-20b are two open-weight language models by OpenAI