
GitHub - erikalu/omnimatte
This repository contains a re-implementation of the code for the CVPR 2021 paper "Omnimatte: Associating Objects and Their Effects in Video."
GitHub - PeterL1n/RobustVideoMatting: Robust Video Matting …
RVM is specifically designed for robust human video matting. Unlike existing neural models that process frames as independent images, RVM uses a recurrent neural network to process …
lllyasviel/FramePack: Lets make video diffusion practical! - GitHub
6 days ago · FramePack is a next-frame (next-frame-section) prediction neural network structure that generates videos progressively. FramePack compresses input contexts to a constant length so that the generation workload is invariant to video length. FramePack can process a very large number of frames with 13B ...
Robust High-Resolution Video Matting with Temporal Guidance
We introduce a robust, real-time, high-resolution human video matting method that achieves new state-of-the-art performance. Our method is much lighter than previous approaches and can process 4K at 76 FPS and HD at 104 FPS on an Nvidia GTX 1080Ti GPU.
rembg-greenscreen · PyPI
Feb 1, 2010 · Rembg Virtual Greenscreen Edition is a tool to create a green screen matte for videos. 15th Jan 2021 -- made a new YouTube explainer. There is also a powershell script ./remove-bg.ps1 which will do the job in a manual way i.e. first create frames, then run the rembg -p ... command and then run ffmpeg to create the matte movie.
Image matting with examples in Python - GitHub Pages
Dec 30, 2022 · In this post, I talk about image and video matting —the process of extracting specific objects from an image to place them in a scene of a movie or compose them onto another background.
Video Matting - LearnOpenCV
Mar 18, 2025 · Imagine being able to separate the foreground from the background in your videos with clear, accurate mattes every time. With AI models like MatAnyone, video matting delivers precise alpha mattes using consistent memory banks, ensuring smooth and reliable results across frames. This advancement opens new possibilities for video editors, filmmakers, and AI enthusiasts interested in […]
VideoMatte240K Dataset - Papers With Code
VideoMatte240K consists of 484 high-resolution green screen videos and generate a total of 240,709 unique frames of alpha mattes and foregrounds with chroma-key software Adobe After Effects. The videos are purchased as stock footage or found as royalty-free materials online. 384 videos are at 4K resolution and 100 are in HD.
Video creation with python and AI #2 - Medium
Jul 13, 2020 · Since COVID, we all have playing using different virtual background when having a video call or meeting on Zoom or Teams. In this tutorial, we will write a program to do this using Deep Learning.
Video Matting - Papers With Code
We propose a novel neural-network-based method to perform matting of videos depicting people that does not require additional user input such as trimaps. To capture the motion information, we estimate the optical flow and design a context-motion updating operator to integrate features between frames recurrently.
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