ADOP | omnimatte | |
---|---|---|
13 | 4 | |
2,014 | 760 | |
- | - | |
5.3 | 0.0 | |
4 months ago | over 2 years ago | |
C++ | 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.
ADOP
Posts with mentions or reviews of ADOP.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-14.
- 인공지능에 대한 이해 : https://youtu.be/g1ARrNTwBHg 1편 - 딥러닝의 원리 https://youtu.be/CA5Ggqg5x6o 2편 - 인공지능의 창의성과 테슬라 AI https://youtu.be/jHYYggG7qq8 3편 - 코딩, 과학, 수학 난제를 해결하려는 A.I. https://youtu.be/BWJWAdMZGNY ---------------------------------------------------- 영상에 등장하는 링크 : ADOP(2021) https://arxiv.org
-
[D] Would the 8gb VRAM of the 3060ti mean that some models in computer vision cannot be trained with it at all?
To train something like https://github.com/darglein/ADOP , can 8gb VRAM in a 3060ti prove to be a hard limit? If it can still train the model by using cpu RAM, how much of a performance hit will it suffer? Should I go with 3060 12gb instead?
- ADOP: New AI Rendering Pipeline that generates incredible results
-
[D] Does this even exist?
I recommend taking a look at this repository: https://github.com/darglein/ADOP There's cool stuff happening in this area!
- ADOP: Approximate Differentiable One-Pixel Point Rendering
-
New AI: Photos Go In, Reality Comes Out! | Two Minute Papers. More latent space synthesis from photos!
code here: https://github.com/darglein/ADOP
- AI pre-processing image sets
-
Create your own 3D scenes from a set of photos with this cool neural network-based algorithm.
Any hope for a compiled file executable under Windows? They only released the bare code https://github.com/darglein/ADOP/releases/tag/v1.0
- AI Synthesizes Smooth Videos from a Couple of Images! Rückert, D. et al., (2021), ADOP
omnimatte
Posts with mentions or reviews of omnimatte.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-14.
-
인공지능에 대한 이해 : https://youtu.be/g1ARrNTwBHg 1편 - 딥러닝의 원리 https://youtu.be/CA5Ggqg5x6o 2편 - 인공지능의 창의성과 테슬라 AI https://youtu.be/jHYYggG7qq8 3편 - 코딩, 과학, 수학 난제를 해결하려는 A.I. https://youtu.be/BWJWAdMZGNY ---------------------------------------------------- 영상에 등장하는 링크 : ADOP(2021) https://arxiv.org
Omnimatte(2021) https://omnimatte.github.io/ || 소스코드 : https://github.com/erikalu/omnimatte
-
Search for a free fill in tool
I wonder, if you also know awesome web- or executable based alternatives of omnimatte and/or layered-neural-atlases?
-
Alternative for omnimatte?
I need a video background/foreground separation tool for my upcomming video projects. I heared something about the AI-Tool Omnimatte, but it requires Linux(I have only windows). https://github.com/erikalu/omnimatte
-
Using AI to remove humans and their shadows from videos!
The swan is video. And there’s another example in the repository readme of https://github.com/erikalu/omnimatte
What are some alternatives?
When comparing ADOP and omnimatte you can also consider the following projects:
koila - Prevent PyTorch's `CUDA error: out of memory` in just 1 line of code.
glide-text2im - GLIDE: a diffusion-based text-conditional image synthesis model
layered-neural-atlases