M-GDM uses motion vectors and frame types to guide a diffusion model in blind recovery of bitstream-corrupted videos without manual masks.
Fatezero: Fus- ing attentions for zero-shot text-based video editing
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ImVideoEdit learns video editing from 13K image pairs by decoupling spatial modifications from frozen temporal dynamics in pretrained models, matching larger video-trained systems in fidelity and consistency.
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Blind Bitstream-corrupted Video Recovery via Metadata-guided Diffusion Model
M-GDM uses motion vectors and frame types to guide a diffusion model in blind recovery of bitstream-corrupted videos without manual masks.
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ImVideoEdit: Image-learning Video Editing via 2D Spatial Difference Attention Blocks
ImVideoEdit learns video editing from 13K image pairs by decoupling spatial modifications from frozen temporal dynamics in pretrained models, matching larger video-trained systems in fidelity and consistency.