Research map / Video / Video segmentation and tracking
Video-to-Video Synthesis
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use the sequential generator with flow warping and spatio-temporal adversarial learning | video-to-video synthesis · Cityscapes | FID (I3D): 4.66 vs 5.57 (pix2pixHD); 5.55 (COVST) | Helped |
| Use the sequential generator with flow warping and spatio-temporal adversarial learning | video-to-video synthesis · Apolloscape | FID (I3D): 2.24 vs 2.33 (pix2pixHD); 2.36 (COVST) | Helped |
| Use vid2vid for future video prediction via predicted semantic masks | future video prediction · Cityscapes | FID (I3D): 3.44 vs 11.18 (PredNet); 10.00 (MCNet) | Helped |
| Add the foreground-background prior (ablation) | vid2vid · Cityscapes | human preference score: 0.80 / 0.20 | Helped |
| Add the conditional video discriminator (ablation) | vid2vid · Cityscapes | human preference score: 0.84 / 0.16 | Helped |
| Add optical-flow prediction and occlusion-mask-based warping (ablation) | vid2vid · Cityscapes | human preference score: 0.67 / 0.33 | Helped |
Closest papers by meaning
- Snap Video: Scaled Spatiotemporal Transformers for Text-to-Video Synthesis (CVPR 2024 · similarity 0.89)
- FlowVid: Taming Imperfect Optical Flows for Consistent Video-to-Video Synthesis (CVPR 2024 · similarity 0.87)
- OSV: One Step is Enough for High-Quality Image to Video Generation (CVPR 2025 · similarity 0.87)
- BIVDiff: A Training-Free Framework for General-Purpose Video Synthesis via Bridging Image and Video Diffusion Models (CVPR 2024 · similarity 0.87)
- ViVid-1-to-3: Novel View Synthesis with Video Diffusion Models (CVPR 2024 · similarity 0.87)
- VSTAR: Generative Temporal Nursing for Longer Dynamic Video Synthesis (ICLR 2025 · similarity 0.87)
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