Video-to-Video Synthesis
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Video-to-Video Synthesis
NeurIPS 2018
• NVIDIA/vid2vid
• 
We study the problem of video-to-video synthesis, whose goal is to learn a mapping function from an input source video (e. g., a sequence of semantic segmentation masks) to an output photorealistic video that precisely depicts the content of the source video.
SEMANTIC SEGMENTATION VIDEO PREDICTION VIDEO-TO-VIDEO SYNTHESIS
Deep Blind Video Decaptioning by Temporal Aggregation and Recurrence
CVPR 2019
• mcahny/Deep-Video-Inpainting
•
Blind video decaptioning is a problem of automatically removing text overlays and inpainting the occluded parts in videos without any input masks.
Deep Video Inpainting
CVPR 2019
• mcahny/Deep-Video-Inpainting
•
Video inpainting aims to fill spatio-temporal holes with plausible content in a video.
IMAGE INPAINTING VIDEO DENOISING VIDEO INPAINTING VIDEO-TO-VIDEO SYNTHESIS