[NeurIPS 2018] Visual Object Networks: Image Generation with Disentangled 3D Representation.

[NeurIPS 2023] Michelangelo: Conditional 3D Shape Generation based on Shape-Image-Text Aligned Latent Representation

[NeurIPS 2023] The repo of CommonScenes, a scene generation method powered by the diffusion model.

The code for CVPR2019 Oral paper "A Skeleton-bridged Deep Learning Approach for Generating Meshes of Complex Topologies from Single RGB Images"

Torch implementation of our ICCV 17 paper: "3D-PRNN, Generating Shape Primitives with Recurrent Neural Networks"

3D Shape Generation Baselines in PyTorch.

Physically Compatible 3D Object Modeling from a Single Image

CVPR2021 paper "Learning Parallel Dense Correspondence from Spatio-Temporal Descriptorsfor Efficient and Robust 4D Reconstruction"

[3DV 2024] official repo of 3DV paper "RoomDesigner: Encoding Anchor-latents for Style-consistent and Shape-compatible Indoor Scene Generation"

Octree Transformer: Autoregressive 3D Shape Generation on Hierarchically Structured Sequences - CVPRW: StruCo3D, 2023

# Golaxy_PCG Procedural content generation technology About Golaxy ,solar system,planet,moon ,ocean water ,mountain ,computer shader and so on

Super Random Polygon Generator

This project is a DL model that performs 3D shape (voxelization) generation. It takes text prompts and produces 3D shapes. The model is implemented using supervised learning and has been tested on pytorch.

R package for generating synthetic shapes and images using the α-shape sampler