Deep Learning experiments
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Updated
Jun 3, 2024 - Python
Deep Learning experiments
[CVPR2024] DiffusionGAN3D: Boosting Text-guided 3D Generation and Domain Adaptation by Combining 3D GANs and Diffusion Priors.
Freeplane InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models and Frequency Modulated Triplane
SPVD⚡: Efficient and Scalable Point Cloud Generation with Sparse Point-Voxel Diffusion Models (PyTorch Lightning)
3D Human Generation With Mesh From 2D Images
SPVD: Efficient and Scalable Point Cloud Generation with Sparse Point-Voxel Diffusion Models
Custom rendered 3D environment based on basic java graphical applet library.
YouDream: Generating Anatomically Controllable Consistent Text-to-3D Animals
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.
ShapeGPT: 3D Shape Generation with A Unified Multi-modal Language Model, a unified and user-friendly shape-language model
Official Code for 'TeMO: Towards Text-Driven 3D Stylization for Multi-Object Meshes' (CVPR 2024)
Zero-shot, text-driven appearance manipulation on multiple views of an object to generate 3D renderings.
3D-GAN able to generate small villages (settlements) on Minecraft
The Scene Language: Representing Scenes with Programs, Words, and Embeddings (arXiv preprint)
[ICLR 2024] Official implementation of the paper "Toss: High-quality text-guided novel view synthesis from a single image"
[NeurIPS 2023] VPP: Efficient Conditional 3D Generation via Voxel-Point Progressive Representation
[NeurIPS 2024 Spotlight] Tetrahedron Splatting for 3D Generation
SculptMate is a Blender add-on that generates a 3D mesh from an image within a minute.
An official implementation of FlexiDreamer: Single Image-to-3D Generation with FlexiCubes.
Unofficial Implementation of "Stable Video Diffusion Multi-View"
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