✨Learning to Refocus with Video Diffusion Models
📝 Summary:
A novel method enables realistic post-capture refocusing from a single defocused image. It uses video diffusion models to generate a focal stack for interactive focus adjustment. This approach outperforms existing methods, improving photography focus-editing.
🔹 Publication Date: Published on Dec 22
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.19823
• PDF: https://arxiv.org/pdf/2512.19823
• Project Page: https://learn2refocus.github.io/
• Github: https://github.com/tedlasai/learn2refocus
🔹 Models citing this paper:
• https://huggingface.co/tedlasai/learn2refocus
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For more data science resources:
✓ https://t.me/DataScienceT
#VideoDiffusionModels #ComputationalPhotography #ImageRefocusing #DeepLearning #ComputerVision
📝 Summary:
A novel method enables realistic post-capture refocusing from a single defocused image. It uses video diffusion models to generate a focal stack for interactive focus adjustment. This approach outperforms existing methods, improving photography focus-editing.
🔹 Publication Date: Published on Dec 22
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.19823
• PDF: https://arxiv.org/pdf/2512.19823
• Project Page: https://learn2refocus.github.io/
• Github: https://github.com/tedlasai/learn2refocus
🔹 Models citing this paper:
• https://huggingface.co/tedlasai/learn2refocus
==================================
For more data science resources:
✓ https://t.me/DataScienceT
#VideoDiffusionModels #ComputationalPhotography #ImageRefocusing #DeepLearning #ComputerVision
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