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https://horizonwind2004.github.io/

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liked a dataset 18 days ago
Marlo-Z/SegLLM_dataset
reacted to their post with πŸ”₯ 22 days ago
πŸš€ Introducing VideoCoF: Unified Video Editing with a Temporal Reasoner (Chain-of-Frames)! We’re excited to introduce VideoCoF, a unified framework for instruction-based video editing that enables temporal reasoning and ~4Γ— video length extrapolation, trained with only 50k video pairs. πŸ”₯ πŸ” What makes VideoCoF different? 🧠 Chain-of-Frames reasoning , mimic human thinking process like Seeing β†’ Reasoning β†’ Editing to apply edits accurately over time without external masks, ensuring physically plausible results. πŸ“ˆ Strong length generalization β€” trained on 33-frame clips, yet supports multi-shot editing and long-video extrapolation (~4Γ—). 🎯 Unified fine-grained editing β€” Object Removal, Addition, Swap, and Local Style Transfer, with instance-level & part-level, spatial-aware control. ⚑ Fast inference update πŸš€ H100: ~20s / video with 4-step inference, making high-quality video editing far more practical for real-world use. πŸ”— Links πŸ“„ Paper: https://arxiv.org/abs/2512.07469 πŸ’» Code: https://github.com/knightyxp/VideoCoF πŸ€— Demo: https://huggingface.co/spaces/XiangpengYang/VideoCoF 🧩 Models: https://huggingface.co/XiangpengYang/VideoCoF 🌐 Project Page: https://videocof.github.io/ #VideoEditing #DiffusionModels #GenerativeAI #ComputerVision #AI
posted an update 23 days ago
πŸš€ Introducing VideoCoF: Unified Video Editing with a Temporal Reasoner (Chain-of-Frames)! We’re excited to introduce VideoCoF, a unified framework for instruction-based video editing that enables temporal reasoning and ~4Γ— video length extrapolation, trained with only 50k video pairs. πŸ”₯ πŸ” What makes VideoCoF different? 🧠 Chain-of-Frames reasoning , mimic human thinking process like Seeing β†’ Reasoning β†’ Editing to apply edits accurately over time without external masks, ensuring physically plausible results. πŸ“ˆ Strong length generalization β€” trained on 33-frame clips, yet supports multi-shot editing and long-video extrapolation (~4Γ—). 🎯 Unified fine-grained editing β€” Object Removal, Addition, Swap, and Local Style Transfer, with instance-level & part-level, spatial-aware control. ⚑ Fast inference update πŸš€ H100: ~20s / video with 4-step inference, making high-quality video editing far more practical for real-world use. πŸ”— Links πŸ“„ Paper: https://arxiv.org/abs/2512.07469 πŸ’» Code: https://github.com/knightyxp/VideoCoF πŸ€— Demo: https://huggingface.co/spaces/XiangpengYang/VideoCoF 🧩 Models: https://huggingface.co/XiangpengYang/VideoCoF 🌐 Project Page: https://videocof.github.io/ #VideoEditing #DiffusionModels #GenerativeAI #ComputerVision #AI
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