PhysLayer is a framework that decomposes images into depth layers, simulates physics with depth awareness, and synthesizes videos guided by language for more plausible animations.
Learning transferable visual models from natural language supervision
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FreeGraftor performs subject-driven text-to-image generation without training by cross-image feature grafting via semantic matching, position-constrained attention fusion, and a noise initialization strategy that preserves reference geometry.
Proposes GLIA framework to adapt Vision Transformers for blind image quality assessment via dual-stream global-local interaction, claiming higher accuracy and robustness with reduced parameters.
citing papers explorer
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PhysLayer: Language-Guided Layered Animation with Depth-Aware Physics
PhysLayer is a framework that decomposes images into depth layers, simulates physics with depth awareness, and synthesizes videos guided by language for more plausible animations.
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FreeGraftor: Training-Free Cross-Image Feature Grafting for Subject-Driven Text-to-Image Generation
FreeGraftor performs subject-driven text-to-image generation without training by cross-image feature grafting via semantic matching, position-constrained attention fusion, and a noise initialization strategy that preserves reference geometry.
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Unleashing Vision Transformer Potential In Image Quality Assessment via Global-Local Adaptive Interaction
Proposes GLIA framework to adapt Vision Transformers for blind image quality assessment via dual-stream global-local interaction, claiming higher accuracy and robustness with reduced parameters.