Guangtao Zhai

Achieving top rankings in a competitive challenge, these models redefine standards for video quality assessment in both full-reference and no-reference contexts.

A new benchmark reveals that existing defect detection methods falter in novel production scenarios, highlighting the urgent need for severity-aware assessments in manufacturing.

Transforming image generation into a dynamic feedback system yields up to 25.36% better facial similarity and significant spatial error reductions without any training.

LEIQ-Assessor not only sets a new standard for low-light image quality assessment but also reveals that multi-task learning can significantly enhance perceptual feature extraction.

Failed rollouts can be a goldmine for training, revealing insights that lead to significant performance improvements in zero-hit reasoning scenarios.

ICRDrag achieves superior editing accuracy and visual fidelity by redefining region-based drag in diffusion models, leaving point-based methods in the dust.

LLMs maintain a positive attitude even when losing in adversarial board games, yet their gameplay reveals surprising instability in skill execution.