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Skyreels-v4: Multi-modal video-audio generation, inpainting and editing model

3 Pith papers cite this work. Polarity classification is still indexing.

3 Pith papers citing it

citation-role summary

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citation-polarity summary

fields

cs.CV 3

years

2026 3

verdicts

UNVERDICTED 3

roles

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polarities

background 3

representative citing papers

AniMatrix: An Anime Video Generation Model that Thinks in Art, Not Physics

cs.CV · 2026-05-05 · unverdicted · novelty 7.0 · 3 refs

AniMatrix generates anime videos by structuring artistic production rules into a controllable taxonomy and training the model to prioritize those rules over physical realism, achieving top scores from professional animators on prompt understanding and artistic motion.

Motif-Video 2B: Technical Report

cs.CV · 2026-04-14 · unverdicted · novelty 4.0 · 2 refs

Motif-Video 2B reaches 83.76% on VBench, outperforming a 14B-parameter model with 7x fewer parameters and far less training data through shared cross-attention and a three-part backbone.

Image-to-Video Diffusion: From Foundations to Open Frontiers

cs.CV · 2026-05-17 · unverdicted · novelty 3.0

A survey that organizes diffusion image-to-video methods into a taxonomy, distills core designs in condition encoding, temporal modeling, noise prior, and upsampling, and discusses applications plus challenges.

citing papers explorer

Showing 3 of 3 citing papers.

  • AniMatrix: An Anime Video Generation Model that Thinks in Art, Not Physics cs.CV · 2026-05-05 · unverdicted · none · ref 9 · 3 links

    AniMatrix generates anime videos by structuring artistic production rules into a controllable taxonomy and training the model to prioritize those rules over physical realism, achieving top scores from professional animators on prompt understanding and artistic motion.

  • Motif-Video 2B: Technical Report cs.CV · 2026-04-14 · unverdicted · none · ref 3 · 2 links

    Motif-Video 2B reaches 83.76% on VBench, outperforming a 14B-parameter model with 7x fewer parameters and far less training data through shared cross-attention and a three-part backbone.

  • Image-to-Video Diffusion: From Foundations to Open Frontiers cs.CV · 2026-05-17 · unverdicted · none · ref 149

    A survey that organizes diffusion image-to-video methods into a taxonomy, distills core designs in condition encoding, temporal modeling, noise prior, and upsampling, and discusses applications plus challenges.