MechVerse benchmark shows current video generation models preserve appearance but fail at mechanically admissible motion, with errors rising as coupling complexity increases.
Dynamicrafter: Animating open-domain images with video diffusion priors
3 Pith papers cite this work. Polarity classification is still indexing.
fields
cs.CV 3years
2026 3verdicts
UNVERDICTED 3representative citing papers
Reference-frame dominance in self-attention suppresses motion in image-to-video models; DyMoS rebalances attention from generated frames to the reference during initial denoising steps to improve dynamics while preserving fidelity.
SpecSem-Net integrates Fourier-based spectral filtering with semantic-guided gated merging to detect AI-generated videos, reporting 87.25% accuracy on a new benchmark of five commercial generators and 95.59% on public datasets.
citing papers explorer
-
MechVerse: Evaluating Physical Motion Consistency in Video Generation Models
MechVerse benchmark shows current video generation models preserve appearance but fail at mechanically admissible motion, with errors rising as coupling complexity increases.
-
Rebalancing Reference Frame Dominance to Improve Motion in Image-to-Video Models
Reference-frame dominance in self-attention suppresses motion in image-to-video models; DyMoS rebalances attention from generated frames to the reference during initial denoising steps to improve dynamics while preserving fidelity.
-
SpecSem-Net: Integrating Spectral and Semantic Features for Robust AI-generated Video Detection
SpecSem-Net integrates Fourier-based spectral filtering with semantic-guided gated merging to detect AI-generated videos, reporting 87.25% accuracy on a new benchmark of five commercial generators and 95.59% on public datasets.