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Ceyuan Yang

@CeyuanY • 2,181 subscribers

researcher @ bytedance seed

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Anya Rossi

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Introducing Omni, one unified model can support any-to-any multimodal modeling, including multimodal understanding, image/video generation and editing, world modeling and 3D reconstruction. All in one that adopts standard mixture-of-experts arch with only 3B activations.

Introducing Omni, one unified model can support any-to-any multimodal modeling, including multimodal understanding, image/video generation and editing, world modeling and 3D reconstruction. All in one that adopts standard mixture-of-experts arch with only 3B activations.

31,050 просмотров • 1 месяц назад

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 unleash the power of the foundation model, Seaweed-7B further enables a wide range of downstream applications including image-to-video generation, human video generation, subject-consistent video generation, video-audio joint generation, long video generation and storytelling, real-time generation, super-resolution generation, camera controlled generation. Check out our webpage and report for more details: Webpage: Paper: It's a wonderful journey of the last year. Thanks to all teammates for their contributions, sincerely.

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 unleash the power of the foundation model, Seaweed-7B further enables a wide range of downstream applications including image-to-video generation, human video generation, subject-consistent video generation, video-audio joint generation, long video generation and storytelling, real-time generation, super-resolution generation, camera controlled generation. Check out our webpage and report for more details: Webpage: Paper: It's a wonderful journey of the last year. Thanks to all teammates for their contributions, sincerely.

77,423 просмотров • 1 год назад

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: Report:

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: Report:

46,813 просмотров • 1 год назад

Long video generation usually results in context increasing/scaling during chunk/frame-wise rollout. Considering context scaling may require context selection, we thus introduce the idea of MoE into long context modelling and propose Mixture of Contexts. All previous context/memory is considered while the chosen ones are computed in a data-driven manner. You can easily enjoy 7x compute savings.

Long video generation usually results in context increasing/scaling during chunk/frame-wise rollout. Considering context scaling may require context selection, we thus introduce the idea of MoE into long context modelling and propose Mixture of Contexts. All previous context/memory is considered while the chosen ones are computed in a data-driven manner. You can easily enjoy 7x compute savings.

22,064 просмотров • 9 месяцев назад

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:

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:

39,542 просмотров • 2 лет назад

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 II can support ultra-fast interaction and long-term exploration. Homepage:

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 II can support ultra-fast interaction and long-term exploration. Homepage:

14,806 просмотров • 1 год назад

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