Keras implementation of 3dgan

[CVPR 2017] Generation and reconstruction of 3D shapes via modeling multi-view depth maps or silhouettes

[CVPR 2021] Roof-GAN: Learning to Generate Roof Geometry and Relations for Residential Houses

3D-GAN able to generate small villages (settlements) on Minecraft

Official implementation of Generative Cellular Automata: ICLR 2021, 2022 (spotlight)

Custom rendered 3D environment based on basic java graphical applet library.

A colab friendly toolkit to generate 3D mesh model / video / nerf instance / multiview images of colourful 3D objects by text and image prompts input, based on dreamfields.

[CVPR'21] SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data, in PyTorch

Zero-shot, text-driven appearance manipulation on multiple views of an object to generate 3D renderings.

[SIGGRAPH 2022 Journal Track] AvatarCLIP: Zero-Shot Text-Driven Generation and Animation of 3D Avatars

code for paper "Learning to Generate 3D Shapes from a Single Example", SIGGRAPH Asia 2022

Deep Learning experiments

[CVPR 2023] SparseFusion: Distilling View-conditioned Diffusion for 3D Reconstruction

[SIGGRAPH Asia 2022] Text2Light: Zero-Shot Text-Driven HDR Panorama Generation

Studio-YAIVERSE : Text-guided 3D synthesis by GET3D + NADA

[CVPR 2023] Executing your Commands via Motion Diffusion in Latent Space, a fast and high-quality motion diffusion model

Nucleosome Dynamics CLI

Point Transformer Diffusion is a novel generative model for 3D point cloud generation, which integrates the classical diffusion model and a local self-attention network.

Official code release for ICCV2023 paper AG3D: Learning to Generate 3D Avatars from 2D Image Collections

Text2Room generates textured 3D meshes from a given text prompt using 2D text-to-image models (ICCV2023).