Vision Bridge Transformer at Scale
We introduce Vision Bridge Transformer (ViBT), a large-scale instantiation of Brownian Bridge Models designed for conditional generation. Unlike traditional diffusion models that transform noise into data, Bridge Models directly model the trajectory between inputs and outputs, creating an efficient data-to-data translation paradigm. By scaling these models to 20B and 1.3B parameters, we demonstrate their effectiveness for image and video translation tasks. To support this scale, we adopt a Transformer architecture and propose a variance-stabilized velocity-matching objective for robust training. Together, these advances highlight the power of scaling Bridge Models for instruction-based image editing and complex video translation.
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Zhenxiong Tan
claimed_verified
2025-12-01T09:11:13.525Z
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https://cdn-avatars.huggingface.co/v1/production/uploads/640ebdfefdeaae139086f4d8/2N94gbHubplYD8njmUTPf.jpeg
Zhenxiong Tan
Yuanshi
user
Yuanshi
692d09fb4397b1ec214f67b3
Zeqing Wang
claimed_verified
2025-12-01T10:06:43.036Z
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Zeqing Wang
INV-WZQ
user
INV-WZQ
692d09fb4397b1ec214f67b4
Xingyi Yang
claimed_verified
2025-12-01T09:11:11.586Z
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Xingyi Yang
adamdad
user
adamdad
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Songhua Liu
claimed_verified
2025-12-01T16:24:42.869Z
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Liu Songhua
Huage001
user
Huage001
692d09fb4397b1ec214f67b6
Xinchao Wang
Vision Bridge Transformer at Scale
We introduce Vision Bridge Transformer (ViBT), a large-scale instantiation of Brownian Bridge Models designed for conditional generation. Unlike traditional diffusion models that transform noise into data, Bridge Models directly model the trajectory between inputs and outputs, creating an efficient data-to-data translation paradigm. By scaling these models to 20B and 1.3B parameters, we demonstrate their effectiveness for image and video translation tasks. To support this scale, we adopt a Transformer architecture and propose a variance-stabilized velocity-matching objective for robust training. Together, these advances highlight the power of scaling Bridge Models for instruction-based image editing and complex video translation.
Bridge Models, instantiated as Vision Bridge Transformer (ViBT), efficiently translate data through direct modeling of input-to-output trajectories, achieving robust performance in image and video editing tasks at large scales.
Vision Bridge Transformer (ViBT) Brownian Bridge Models diffusion models data-to-data translation variance-stabilized velocity-matching objective