Pre-trained diffusion models inherently support image restoration that can be unlocked by optimizing prompt embeddings at the text encoder output using a diffusion bridge formulation, achieving competitive results on models like WAN and FLUX without fine-tuning.
arXiv preprint arXiv:2310.10123 (2023) 1, 4, 11
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HDRAgent is the first agent-driven framework for multi-exposure HDR imaging that uses MLLM scene perception, contextual knowledge matching, and perception-distortion feedback to reduce ghosting artifacts.
citing papers explorer
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Your Pre-trained Diffusion Model Secretly Knows Restoration
Pre-trained diffusion models inherently support image restoration that can be unlocked by optimizing prompt embeddings at the text encoder output using a diffusion bridge formulation, achieving competitive results on models like WAN and FLUX without fine-tuning.
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HDRAgent: An Agentic Framework for Multi-Exposure HDR Imaging
HDRAgent is the first agent-driven framework for multi-exposure HDR imaging that uses MLLM scene perception, contextual knowledge matching, and perception-distortion feedback to reduce ghosting artifacts.