Sin3DGen
By wyysf-98
Neural-Scene-Flow-Fields
PyTorch implementation of paper "Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes" (by zhengqili)
Sin3DGen | Neural-Scene-Flow-Fields | |
---|---|---|
1 | 4 | |
111 | 694 | |
- | - | |
4.1 | 2.6 | |
about 1 year ago | almost 2 years ago | |
Python | Python | |
- | MIT License |
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.
Sin3DGen
Posts with mentions or reviews of Sin3DGen.
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/wyysf-98/Sin3DGen
Neural-Scene-Flow-Fields
Posts with mentions or reviews of Neural-Scene-Flow-Fields.
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
-
"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]
What are some alternatives?
When comparing Sin3DGen and Neural-Scene-Flow-Fields you can also consider the following projects:
instruct-pix2pix
ms-nerf - Multi-Space Neural Radiance Fields(CVPR 2023)
f2-nerf - Fast neural radiance field training with free camera trajectories
BungeeNeRF - [ECCV22] BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-scale Scene Rendering
VideoLoop3D - Code for CVPR2023: 3D Video Loops from Asynchronous Input
MixNeRF - [CVPR2023] MixNeRF: Modeling a Ray with Mixture Density for Novel View Synthesis from Sparse Inputs
prolificdreamer - ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation (NeurIPS 2023 Spotlight)
lerf - Code for LERF: Language Embedded Radiance Fields
Sin3DGen vs instruct-pix2pix
Neural-Scene-Flow-Fields vs ms-nerf
Sin3DGen vs f2-nerf
Neural-Scene-Flow-Fields vs BungeeNeRF
Sin3DGen vs VideoLoop3D
Neural-Scene-Flow-Fields vs VideoLoop3D
Sin3DGen vs ms-nerf
Neural-Scene-Flow-Fields vs MixNeRF
Sin3DGen vs prolificdreamer
Neural-Scene-Flow-Fields vs prolificdreamer
Sin3DGen vs MixNeRF
Neural-Scene-Flow-Fields vs lerf