MixNeRF
[CVPR2023] MixNeRF: Modeling a Ray with Mixture Density for Novel View Synthesis from Sparse Inputs (by shawn615)
prolificdreamer
Official code of ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation (NeurIPS 2023 Spotlight) (by thu-ml)
MixNeRF | prolificdreamer | |
---|---|---|
1 | 5 | |
45 | 1,395 | |
- | 3.0% | |
3.3 | 4.5 | |
about 1 year ago | 6 months ago | |
Python | Python | |
MIT License | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
MixNeRF
Posts with mentions or reviews of MixNeRF.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-10.
-
[D] NeRF, LeRF, Prolific Dreamer, Neuralangelo, and a lot of other cool NeRF research
[Code] https://github.com/shawn615/MixNeRF
prolificdreamer
Posts with mentions or reviews of prolificdreamer.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-08-03.
- ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation
-
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?
When comparing MixNeRF and prolificdreamer you can also consider the following projects:
instruct-pix2pix
hyperreel - Code release for HyperReel: High-Fidelity 6-DoF Video with Ray-Conditioned Sampling
ms-nerf - Multi-Space Neural Radiance Fields(CVPR 2023)
stable-diffusion-howto - Run Stable Diffusion on your M1 Mac’s GPU (Intel and non-Apple PCs are also supported)
BungeeNeRF - [ECCV22] BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-scale Scene Rendering
HiFA
instant-ngp - Instant neural graphics primitives: lightning fast NeRF and more
f2-nerf - Fast neural radiance field training with free camera trajectories
threestudio - A unified framework for 3D content generation.
VideoLoop3D - Code for CVPR2023: 3D Video Loops from Asynchronous Input
MixNeRF vs instruct-pix2pix
prolificdreamer vs hyperreel
MixNeRF vs ms-nerf
prolificdreamer vs stable-diffusion-howto
MixNeRF vs BungeeNeRF
prolificdreamer vs instruct-pix2pix
MixNeRF vs HiFA
prolificdreamer vs instant-ngp
MixNeRF vs f2-nerf
prolificdreamer vs threestudio
MixNeRF vs VideoLoop3D
prolificdreamer vs BungeeNeRF