Keras implementation of 3dgan
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Updated
Nov 8, 2019 - Python
Keras implementation of 3dgan
[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)
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.
MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model
[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
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
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
[ICCV 2023] Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior
Text2Room generates textured 3D meshes from a given text prompt using 2D text-to-image models (ICCV2023).
[NeurIPS 2023] PrimDiffusion: Volumetric Primitives Diffusion for 3D Human Generation
GeoDream: Disentangling 2D and Geometric Priors for High-Fidelity and Consistent 3D Generation
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