Summary of Mardini: Masked Autoregressive Diffusion For Video Generation at Scale, by Haozhe Liu et al.
MarDini: Masked Autoregressive Diffusion for Video Generation at Scale
by Haozhe Liu, Shikun Liu, Zijian Zhou, Mengmeng Xu, Yanping Xie, Xiao Han, Juan C. Pérez, Ding Liu, Kumara Kahatapitiya, Menglin Jia, Jui-Chieh Wu, Sen He, Tao Xiang, Jürgen Schmidhuber, Juan-Manuel Pérez-Rúa
First submitted to arxiv on: 26 Oct 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI)
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Summary difficulty | Written by | Summary |
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High | Paper authors | High Difficulty Summary Read the original abstract here |
Medium | GrooveSquid.com (original content) | Medium Difficulty Summary MarDini is a novel family of video diffusion models that combines the benefits of masked auto-regression (MAR) into a unified framework. The model consists of two components: MAR handles temporal planning, while diffusion de-noising focuses on spatial generation in an asymmetric network design. MarDini enables conditioned video generation on any number of masked frames at any position, making it suitable for tasks such as video interpolation, image-to-video generation, and video expansion. The efficient design allocates most computational resources to the low-resolution planning model, allowing for scalable spatio-temporal attention. MarDini sets a new state-of-the-art for video interpolation and efficiently generates videos comparable to advanced image-to-video models. |
Low | GrooveSquid.com (original content) | Low Difficulty Summary MarDini is a special kind of computer program that helps create realistic videos from still images or short video clips. It’s like a super-smart artist that can make movies! The program uses two main parts: one part plans what should happen in the video, and the other part makes it look good by filling in the missing frames. MarDini is very good at making new videos, especially if you already have some of the footage done. It’s like having a magic video editing tool! |
Keywords
» Artificial intelligence » Attention » Diffusion » Regression