Video-to-Video Synthesis Edit Task
Computer Vision • Video
About
Learning a mapping function from an input source video to an output video.
( Image credit: vid2vid )
Benchmarks
| TREND | DATASET | BEST METHOD | PAPER TITLE | PAPER | CODE | COMPARE |
|---|---|---|---|---|---|---|
|
||||||
|
Greatest papers with code
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
Few-shot Video-to-Video Synthesis
NeurIPS 2019
• NVlabs/few-shot-vid2vid
•
To address the limitations, we propose a few-shot vid2vid framework, which learns to synthesize videos of previously unseen subjects or scenes by leveraging few example images of the target at test time.
Ranked #1 on
Video-to-Video Synthesis
on YouTube Dancing
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 OPTICAL FLOW ESTIMATION VIDEO DENOISING VIDEO INPAINTING VIDEO-TO-VIDEO SYNTHESIS
Deep Blind Video Decaptioning by Temporal Aggregation and Recurrence
CVPR 2019
• shwoo93/video_decaptioning
•
Blind video decaptioning is a problem of automatically removing text overlays and inpainting the occluded parts in videos without any input masks.
GANs in computer vision ebook
ebook 2020
• The-AI-Summer/GANs-in-Computer-Vision
•
We do hope that this series will provide you a big overview of the field, so that you will not need to read all the literature by yourself, independent of your background on GANs.
CONDITIONAL IMAGE GENERATION IMAGE-TO-IMAGE TRANSLATION VIDEO GENERATION VIDEO-TO-VIDEO SYNTHESIS
Compositional Video Synthesis with Action Graphs
Videos of actions are complex signals, containing rich compositional structure.