Lists (3)
Stars
A collaboration friendly studio for NeRFs
Official Codebase of "DiffComplete: Diffusion-based Generative 3D Shape Completion"
CLAY: A Controllable Large-scale Generative Model for Creating High-quality 3D Assets
From anything to mesh like human artists. Official impl. of "MeshAnything V2: Artist-Created Mesh Generation With Adjacent Mesh Tokenization"
High-Resolution Image Synthesis with Latent Diffusion Models
A little repo to render objaverse objects with blender
Stable Diffusion implemented from scratch in PyTorch
(CVPR 2024) Bayesian Diffusion Models for 3D Shape Reconstruction
Learning English through the method of constructing sentences with conjunctions
[ICCV 2023 & IJCV 2025] SVDFormer: Complementing Point Cloud via Self-view Augmentation and Self-structure Dual-generator
CRA-PCN: Point Cloud Completion with Intra- and Inter-level Cross-Resolution Transformers
An official implementation of FlexiDreamer: Single Image-to-3D Generation with FlexiCubes.
Official implementation of "MicroDreamer: Zero-shot 3D Generation in ~20 Seconds by Score-based Iterative Reconstruction".
[NeurIPS 2024 Spotlight] Tetrahedron Splatting for 3D Generation
[NeurIPS 2024] MeshXL: Neural Coordinate Field for Generative 3D Foundation Models, a 3D fundamental model for mesh generation
Implementation of MeshGPT, SOTA Mesh generation using Attention, in Pytorch
[ICLR 2025] From anything to mesh like human artists. Official impl. of "MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers"
[ICCV 2021 Oral] PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
An open-source impl. of Large Reconstruction Models
InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models