A unified framework for 3D content generation.
Single Image to 3D using Cross-Domain Diffusion for 3D Generation
MMDetection3D 是一个基于 PyTorch 的目标检测开源工具箱, 下一代面向3D检测的平台. 它是 OpenMMlab 项目的一部分，这个项目由香港中文大学多媒体实验室和商汤科技联合发起.
A curated list of awesome 3d generation papers
Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction 🍇 (AAAI 2018)
Pytorch code to construct a 3D point cloud model from single RGB image.
Visual Inertial Odometry with SLAM capabilities and 3D Mesh generation.
翻译 - 具有SLAM功能和3D网格生成的视觉惯性里程表。
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud, CVPR 2019.
翻译 - PointRCNN的PyTorch实施，用于从Raw Point Cloud进行3D对象检测，CVPR 2019。
Multi-view Diffusion for 3D Generation
Tencent Hunyuan3D-1.0: A Unified Framework for Text-to-3D and Image-to-3D Generation
3D generation code for MVDream
3D generation on ImageNet [ICLR 2023]
T3Bench: Benchmarking Current Progress in Text-to-3D Generation
PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows
StructureNet: Hierarchical Graph Networks for 3D Shape Generation
Voxel2Mesh: 3D Mesh Model Generation from Volumetric Data
Official implementation of "Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation"
Pixel2Mesh++: Multi-View 3D Mesh Generation via Deformation. In ICCV2019.
Tiny3D is a next generation of 3D AI service production system.
💭 Diffusion Probabilistic Models for 3D Point Cloud Generation (CVPR 2021)