Neural-Scene-Flow-Fields
prolificdreamer
Neural-Scene-Flow-Fields | prolificdreamer | |
---|---|---|
4 | 5 | |
694 | 1,387 | |
- | 3.0% | |
2.6 | 4.5 | |
almost 2 years ago | 6 months ago | |
Python | Python | |
MIT License | Apache License 2.0 |
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.
Neural-Scene-Flow-Fields
- [D] NeRF, LeRF, Prolific Dreamer, Neuralangelo, and a lot of other cool NeRF research
-
"Paint by Word", Bau et al 2021 (using CLIP+BigGAN/StyleGAN to edit images & inpaint deleted segments based on word inputs like "rustic")
Here's the link to the Github. Not Colab based but you can download a pretrained model and test it locally https://github.com/zhengqili/Neural-Scene-Flow-Fields
- [D] Neural Scene Radiance Fields - Depth Estimation & 3D Scene Reconstruction for 3D Video Stabilization
- 3D Video Stabilization with AI via Depth Estimation & 3D Scene Reconstruction [NSFF]
prolificdreamer
- 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...
-
[D] NeRF, LeRF, Prolific Dreamer, Neuralangelo, and a lot of other cool NeRF research
[Code] https://github.com/thu-ml/prolificdreamer
-
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
BungeeNeRF - [ECCV22] BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-scale Scene Rendering
stable-diffusion-howto - Run Stable Diffusion on your M1 Mac’s GPU (Intel and non-Apple PCs are also supported)
VideoLoop3D - Code for CVPR2023: 3D Video Loops from Asynchronous Input
instruct-pix2pix
MixNeRF - [CVPR2023] MixNeRF: Modeling a Ray with Mixture Density for Novel View Synthesis from Sparse Inputs
instant-ngp - Instant neural graphics primitives: lightning fast NeRF and more
Sin3DGen
threestudio - A unified framework for 3D content generation.
lerf - Code for LERF: Language Embedded Radiance Fields