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Generating Long Videos of Dynamic Scenes

NeurIPS 2022 · Video › Video generation · approach: Autoregressive long video generation · 24 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Train the low-resolution generator on long video sequences (ablation)Proposed method · Long-video generationFVDHelped
Use a generator with a large temporal receptive field (ablation)Proposed method · Long-video generationFVDHelped
Use temporal lowpass filters with appropriately sized footprints (ablation)Proposed method · Long-video generationFVDHelped
Condition super-resolution on real rather than generated low-resolution videos (ablation)Proposed method · Super-resolution evaluationFVDHelped
Use the proposed method instead of StyleGAN-VVideo generation · Horseback riding and mountain bikingFVD128Helped
Use the proposed method instead of StyleGAN-VVideo generation · ACIDFVD128Hurt
Use the proposed method instead of StyleGAN-VVideo generation · SkyTimelapseFVD128Hurt
Use the proposed method instead of MoCoGAN-HD, TATS, or DIGANVideo generation · SkyTimelapseFVD128Helped
Use the proposed method instead of StyleGAN-VVideo generation · Horseback riding, mountain biking, ACID, and SkyTimelapsehuman motion realism preferenceHelped
Use the proposed method instead of StyleGAN-VVideo generation · Horseback riding, ACID, and SkyTimelapserate of change in perceptual similarityHelped
Use the proposed method instead of StyleGAN-VVideo generation · Mountain bikingrate of change in perceptual similarityMixed

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