3D Human Generation With Mesh From 2D Images
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Updated
Jan 20, 2024 - Jupyter Notebook
3D Human Generation With Mesh From 2D Images
[CVPR2024] DiffusionGAN3D: Boosting Text-guided 3D Generation and Domain Adaptation by Combining 3D GANs and Diffusion Priors.
Deep Learning experiments
YouDream: Generating Anatomically Controllable Consistent Text-to-3D Animals
The official implementation of "GaussianCity: Generative Gaussian Splatting for Unbounded 3D City Generation". (Xie et al., arXiv 2406.06526)
Custom rendered 3D environment based on basic java graphical applet library.
Official implementation of Animate3D: Animating Any 3D Model with Multi-view Video Diffusion
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)
Official implementation of Bootstrap3D: Improving 3D Content Creation with Synthetic Data
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
[NeurIPS 2023] VPP: Efficient Conditional 3D Generation via Voxel-Point Progressive Representation
[ICLR 2024] Official implementation of the paper "Toss: High-quality text-guided novel view synthesis from a single image"
Motion Avatar: Generate Human and Animal Avatars with Arbitrary Motion
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.
[CVPR2024] DiffInDScene: Diffusion-based High-Quality 3D Indoor Scene Generation
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