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Video-to-Video Synthesis

NeurIPS 2018 · Video › Video segmentation and tracking · approach: Layered video decomposition and dynamics · 123 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use the sequential generator with flow warping and spatio-temporal adversarial learningvideo-to-video synthesis · CityscapesFID (I3D): 4.66 vs 5.57 (pix2pixHD); 5.55 (COVST)Helped
Use the sequential generator with flow warping and spatio-temporal adversarial learningvideo-to-video synthesis · ApolloscapeFID (I3D): 2.24 vs 2.33 (pix2pixHD); 2.36 (COVST)Helped
Use vid2vid for future video prediction via predicted semantic masksfuture video prediction · CityscapesFID (I3D): 3.44 vs 11.18 (PredNet); 10.00 (MCNet)Helped
Add the foreground-background prior (ablation)vid2vid · Cityscapeshuman preference score: 0.80 / 0.20Helped
Add the conditional video discriminator (ablation)vid2vid · Cityscapeshuman preference score: 0.84 / 0.16Helped
Add optical-flow prediction and occlusion-mask-based warping (ablation)vid2vid · Cityscapeshuman preference score: 0.67 / 0.33Helped

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