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Ceyuan Yang
154 posts
user avatar
Ceyuan Yang
@CeyuanY
researcher @ bytedance seed
Hong Kong
scholar.google.com/citations?user…
Joined February 2020
552
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2,181
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  • user avatar
    Ceyuan Yang
    @CeyuanY
    Apr 14, 2025
    Glad to share Seaweed-7B, a cost-effective foundation model for video generation. Our tech report highlights the key designs that significantly improve compute efficiency and performance given limited resources, achieving comparable quality against other industry-level models. To
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  • user avatar
    Ceyuan Yang
    @CeyuanY
    Sep 25, 2023
    Personalization means a lot. We thus introduce the lightweight motion LoRA into #AnimateDiff. Fine-grained motions like the following camera control are enabled. Models are available now at GitHub. Just create more motions as you want.
    GIF
    97K
  • user avatar
    Ceyuan Yang
    @CeyuanY
    Dec 15, 2023
    Yuwei (@GuoywGuo) just released #AnimateDiff v3 and #SparseCtrl which allows to animate ONE keyframe, generate transition between TWO keyframes and interpolate MULTIPLE sparse keyframes. RGB images and scribbles are supported for now. Github: github.com/guoyww/Animate…
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  • user avatar
    Ceyuan Yang
    @CeyuanY
    Nov 10, 2023
    Update of #AnimateDiff: now can avoid watermarks and more importantly, support #SDXL i.e., produce high resolution videos (ie 1024x1024x16 frames with various aspect ratios) with/without personalized models (~13GB VRAM for inference). Try it out on github.com/guoyww/Animate….
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    53K
  • user avatar
    Ceyuan Yang
    @CeyuanY
    Jul 11, 2023
    Wanna make your personalized T2I (\eg, LoRA) move? Try our AnimateDiff which animates multiple models once for all without specific tuning. Page: animatediff.github.io
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    31K
  • user avatar
    Ceyuan Yang
    @CeyuanY
    Nov 29, 2023
    Controllability matters for video generation. We thus propose SparseCtrl that enables keyframe (sketch, depth, img) animation/transition/prediction/interpolation by feeding TEMPORALLY SPARSE condition maps. It’s also compatible with #AnimateDiff. Page: guoyww.github.io/projects/Spars…
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  • user avatar
    Ceyuan Yang
    @CeyuanY
    Mar 16, 2025
    Check out our latest work CameraCtrl II. By carefully collecting and processing data and introducing as little inductive bias as we can, users are allowed to explore the generated world with appealing dynamics and consistency. Together with extension and distillation, CameraCtrl
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  • user avatar
    Ceyuan Yang
    @CeyuanY
    May 24, 2024
    Control your camera when generating videos here! Training code and inference weights of both #AnimateDiff and #SVD are now available at github.com/hehao13/Camera…
    user avatar
    AK
    @_akhaliq
    Apr 3, 2024
    CameraCtrl Enabling Camera Control for Text-to-Video Generation Controllability plays a crucial role in video generation since it allows users to create desired content. However, existing models largely overlooked the precise control of camera pose that serves as a cinematic
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    25K
  • user avatar
    Ceyuan Yang
    @CeyuanY
    Mar 14, 2025
    We propose Long Context Tuning (LCT) for scene-level video generation to bridge the gap between current single-shot generation and real-world narrative video productions. Homepage: guoyww.github.io/projects/long-… Report: arxiv.org/abs/2503.10589
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  • user avatar
    Ceyuan Yang
    @CeyuanY
    Apr 3, 2024
    Thank @_akhaliq for sharing our work. As an another plug-in module, CameraCtrl could be inserted into our #AnimateDiff to enable camera controlling. Code and models are avaliable at github.com/hehao13/Camera…
    user avatar
    AK
    @_akhaliq
    Apr 3, 2024
    CameraCtrl Enabling Camera Control for Text-to-Video Generation Controllability plays a crucial role in video generation since it allows users to create desired content. However, existing models largely overlooked the precise control of camera pose that serves as a cinematic
    00:00
    19K
  • user avatar
    Ceyuan Yang
    @CeyuanY
    Apr 14, 2025
    More videos are available at seaweed.video
    user avatar
    AK
    @_akhaliq
    Apr 14, 2025
    ByteDance just announced Seaweed-7B on Hugging Face Cost-Effective Training of Video Generation Foundation Model
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  • user avatar
    Ceyuan Yang
    @CeyuanY
    Sep 8, 2023
    If your GAN related research (e.g., image, video and 3D) is also bottlenecked by its scale, just like me, try our Aurora, a GAN based text-to-image generator. Surely, code and model will be publicly available soon. ArXiv: arxiv.org/pdf/2309.03904…
    8.1K
  • user avatar
    Ceyuan Yang
    @CeyuanY
    Jan 15, 2025
    One-step this time for video generation! check out more demos here seaweed-apt.com
    user avatar
    Peter Lin
    @peter9863
    Jan 15, 2025
    Excited to announce our latest research Seaweed-APT. Unlike diffusion and autoregressive models that require iterative sampling, our model generates 1280x720 24fps videos using only a single step (1NFE)! For more information, visit our website: seaweed-apt.com
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  • user avatar
    Ceyuan Yang
    @CeyuanY
    Nov 19, 2021
    Thank @ak92501 for sharing our recent work! Our GenDA could substantially improve the synthesis quality and diversity with few-shot even one-shot target image. Code is coming soon. Stay tuned!
    user avatar
    AK
    @_akhaliq
    Nov 19, 2021
    One-Shot Generative Domain Adaptation abs: arxiv.org/abs/2111.09876 project page: genforce.github.io/genda/ method works well even with large domain gaps, and robustly converges within a few minutes for each experiment

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