V2V-Bench is a new 11-dimension benchmark for video-to-video generation that achieves 0.905 Spearman correlation with human judgments on six V2V-specific dimensions.
Storyanchors: Generating consistent multi- scene story frames for long-form narratives
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DreamShot uses video diffusion priors and a role-attention consistency loss to produce coherent, personalized storyboards with better character and scene continuity than text-to-image methods.
citing papers explorer
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V2V-Bench: A Comprehensive Benchmark for Video-to-Video Generation Evaluation
V2V-Bench is a new 11-dimension benchmark for video-to-video generation that achieves 0.905 Spearman correlation with human judgments on six V2V-specific dimensions.
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DreamShot: Personalized Storyboard Synthesis with Video Diffusion Prior
DreamShot uses video diffusion priors and a role-attention consistency loss to produce coherent, personalized storyboards with better character and scene continuity than text-to-image methods.