nerfbusters
prolificdreamer
| nerfbusters | prolificdreamer | |
|---|---|---|
| 2 | 5 | |
| 203 | 1,399 | |
| - | 2.4% | |
| 6.1 | 4.5 | |
| 5 months ago | 7 months ago | |
| Jupyter Notebook | Python | |
| MIT License | Apache License 2.0 |
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nerfbusters
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?
ms-nerf - Multi-Space Neural Radiance Fields(CVPR 2023)
hyperreel - Code release for HyperReel: High-Fidelity 6-DoF Video with Ray-Conditioned Sampling
MixNeRF - [CVPR2023] MixNeRF: Modeling a Ray with Mixture Density for Novel View Synthesis from Sparse Inputs
stable-diffusion-howto - Run Stable Diffusion on your M1 Mac’s GPU (Intel and non-Apple PCs are also supported)
lerf - Code for LERF: Language Embedded Radiance Fields
instruct-pix2pix
f2-nerf - Fast neural radiance field training with free camera trajectories
instant-ngp - Instant neural graphics primitives: lightning fast NeRF and more
Sin3DGen
threestudio - A unified framework for 3D content generation.
BungeeNeRF - [ECCV22] BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-scale Scene Rendering