RF-Sampling enhances flow matching models by implicitly performing gradient ascent on text-image alignment scores via linear textual combinations and flow inversion.
Diffusion models: A comprehensive survey of methods and applications
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A language-driven system generates semantically consistent multimodal textures from text prompts by linking autoregressive haptic models and diffusion-based visuals through a shared latent representation.
Hybrid quantum-classical corrective diffusion model improves MAE and CRPS on 2020 validation wind data but exhibits a generalization gap on 2021 out-of-distribution tests.
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Reflective Flow Sampling Enhancement
RF-Sampling enhances flow matching models by implicitly performing gradient ascent on text-image alignment scores via linear textual combinations and flow inversion.
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Language-Guided Multimodal Texture Authoring via Generative Models
A language-driven system generates semantically consistent multimodal textures from text prompts by linking autoregressive haptic models and diffusion-based visuals through a shared latent representation.
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Hybrid Quantum-Classical Corrective Diffusion Modeling for Meteorological Downscaling
Hybrid quantum-classical corrective diffusion model improves MAE and CRPS on 2020 validation wind data but exhibits a generalization gap on 2021 out-of-distribution tests.