Deep Learning experiments
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Updated
Jun 3, 2024 - Python
Deep Learning experiments
Freeplane InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models and Frequency Modulated Triplane
Custom rendered 3D environment based on basic java graphical applet library.
3D Human Generation With Mesh From 2D Images
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
Official Code for 'TeMO: Towards Text-Driven 3D Stylization for Multi-Object Meshes' (CVPR 2024)
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.
[ICLR 2024] Official implementation of the paper "Toss: High-quality text-guided novel view synthesis from a single image"
[BMVC 2024] 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.
Keras implementation of 3dgan
Studio-YAIVERSE : Text-guided 3D synthesis by GET3D + NADA
[NeurIPS 2023] VPP: Efficient Conditional 3D Generation via Voxel-Point Progressive Representation
A Collection of AIGC Research Groups
This is the official repository for ScaleDreamer: Scalable Text-to-3D Synthesis with Asynchronous Score Distillation [ECCV2024]
IPDreamer: Appearance-Controllable 3D Object Generation with Complex Image Prompts
Official implementation of Bootstrap3D: Improving 3D Content Creation with Synthetic Data
Official implementation of Generative Cellular Automata: ICLR 2021, 2022 (spotlight)
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