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Remix-DiT: Mixing Diffusion Transformers for Multi-Expert Denoising Gongfan Fang Xinyin Ma Xinchao Wang National University of Singapore
Neural Information Processing Systems
The goal of multi-expert denoising is to increase the overall capacity of diffusion models while keeping an acceptable overhead.
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Improving Gloss-free Sign Language Translation by Reducing Representation Density
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Sign languages are the primary form of communication for millions of deaf individuals.
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ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation Cédric Rommel
Neural Information Processing Systems
We propose ManiPose, a manifold-constrained multi-hypothesis model for human-pose 2D-to-3D lifting.
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PoET: A generative model of protein families as sequences-of-sequences
Neural Information Processing Systems
Generative protein language models are a natural way to design new proteins with desired functions.
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