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https://saiyan-world.github.io/goku/

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Very cool! Any plans to open source?

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Holy

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We made a deep dive video for this paper: https://www.youtube.com/watch?v=mwXIWcOXu8g.
\"Kamehameha! Transform text into video—just like that!\"

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This is an automated message from the Librarian Bot. I found the following papers similar to this paper.

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The following papers were recommended by the Semantic Scholar API

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If you want recommendations for any Paper on Hugging Face checkout this Space

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Papers
arxiv:2502.04896

Goku: Flow Based Video Generative Foundation Models

Published on Feb 7
· Submitted by AK on Feb 10
#2 Paper of the day
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Abstract

Goku, a state-of-the-art family of joint image-and-video generation models using rectified flow Transformers, sets new benchmarks in text-to-image and text-to-video tasks.

AI-generated summary

This paper introduces Goku, a state-of-the-art family of joint image-and-video generation models leveraging rectified flow Transformers to achieve industry-leading performance. We detail the foundational elements enabling high-quality visual generation, including the data curation pipeline, model architecture design, flow formulation, and advanced infrastructure for efficient and robust large-scale training. The Goku models demonstrate superior performance in both qualitative and quantitative evaluations, setting new benchmarks across major tasks. Specifically, Goku achieves 0.76 on GenEval and 83.65 on DPG-Bench for text-to-image generation, and 84.85 on VBench for text-to-video tasks. We believe that this work provides valuable insights and practical advancements for the research community in developing joint image-and-video generation models.

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Very cool! Any plans to open source?

Holy

We made a deep dive video for this paper: https://www.youtube.com/watch?v=mwXIWcOXu8g.
"Kamehameha! Transform text into video—just like that!"

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