GeoDream
prolificdreamer
GeoDream | prolificdreamer | |
---|---|---|
1 | 5 | |
561 | 1,387 | |
2.3% | 3.0% | |
7.7 | 4.5 | |
4 months ago | 6 months ago | |
Python | Python | |
Apache License 2.0 | Apache License 2.0 |
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GeoDream
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GeoDream: High-Fidelity and Consistent 3D Generation Colab
🧬code: https://github.com/baaivision/GeoDream
prolificdreamer
- ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation
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Magic123: One Image to High-Quality 3D Object Generation
Interesting work! But given the time and complexity of the generation, I think VSD-loss based implementations have higher fidelity. See https://github.com/thu-ml/prolificdreamer or https://github.com/threestudio-project/threestudio/tree/main...
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[D] NeRF, LeRF, Prolific Dreamer, Neuralangelo, and a lot of other cool NeRF research
[Code] https://github.com/thu-ml/prolificdreamer
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Is it possible for me to approximate a depth map from a generated image and make a 3D model?
Personally, I'm waiting for code to drop for this one: https://github.com/thu-ml/prolificdreamer
What are some alternatives?
hyperreel - Code release for HyperReel: High-Fidelity 6-DoF Video with Ray-Conditioned Sampling
stable-diffusion-howto - Run Stable Diffusion on your M1 Mac’s GPU (Intel and non-Apple PCs are also supported)
instruct-pix2pix
instant-ngp - Instant neural graphics primitives: lightning fast NeRF and more
threestudio - A unified framework for 3D content generation.
BungeeNeRF - [ECCV22] BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-scale Scene Rendering
lerf - Code for LERF: Language Embedded Radiance Fields
Magic123 - [ICLR24] Official PyTorch Implementation of Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors
VideoLoop3D - Code for CVPR2023: 3D Video Loops from Asynchronous Input
nerfbusters - Nerfbusters project
colmap - COLMAP - Structure-from-Motion and Multi-View Stereo
stable-dreamfusion - Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.