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@HuggingPapers • 17,443 subscribers

Tweeting interesting papers submitted at https://t.co/rXX8x0HzXV. Submit your own at https://t.co/QhbJKXBd4Q, and link models/datasets/demos to it!

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ByteDance Seed is back with SeedVR2, now on Hugging Face! This one-step video restoration model leverages diffusion adversarial post-training for impressive results, even on high-resolution videos.

ByteDance Seed is back with SeedVR2, now on Hugging Face! This one-step video restoration model leverages diffusion adversarial post-training for impressive results, even on high-resolution videos.

54,493 次观看

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Introducing the Daily Papers SKILL.md Enables agents to > read paper content as markdown > search papers > find linked Hugging Face models and datasets > fetch the papers API > and more! Link below ⬇️

Introducing the Daily Papers SKILL.md Enables agents to > read paper content as markdown > search papers > find linked Hugging Face models and datasets > fetch the papers API > and more! Link below ⬇️

33,987 次观看 • 2 个月前

DynamicVLA A compact 0.4B Vision-Language-Action model that finally lets robots manipulate *moving* objects in real-time, closing the perception-execution gap with Continuous Inference and Latent-aware Action Streaming.

DynamicVLA A compact 0.4B Vision-Language-Action model that finally lets robots manipulate moving objects in real-time, closing the perception-execution gap with Continuous Inference and Latent-aware Action Streaming.

16,291 次观看 • 4 个月前

Microsoft just dropped VITRA-VLA, a new Vision-Language-Action model for robotics on Hugging Face. It learns dexterous manipulation from over 1 million real-life human hand activity videos.

Microsoft just dropped VITRA-VLA, a new Vision-Language-Action model for robotics on Hugging Face. It learns dexterous manipulation from over 1 million real-life human hand activity videos.

19,092 次观看 • 5 个月前

Zhipu AI just released GLM-4.6V on Hugging Face This new multimodal model achieves SOTA visual understanding, features native function calling for agents, and handles 128k context for documents. Perception to action!

Zhipu AI just released GLM-4.6V on Hugging Face This new multimodal model achieves SOTA visual understanding, features native function calling for agents, and handles 128k context for documents. Perception to action!

16,629 次观看 • 5 个月前

Self-Forcing++ for minute-scale video generation ByteDance's new method generates high-quality videos up to 4 min 15 sec! It scales diffusion models without long-video teachers or retraining, preserving fidelity and consistency.

Self-Forcing++ for minute-scale video generation ByteDance's new method generates high-quality videos up to 4 min 15 sec! It scales diffusion models without long-video teachers or retraining, preserving fidelity and consistency.

17,720 次观看 • 8 个月前

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