An LLM agent reads past loss weights and quality scores, then writes new loss weights, letting image processing models be trained toward non-differentiable objectives like IQA scores and text feedback.
Ntire 2017 challenge on single image super-resolution: Dataset and study
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LossAgent: Towards Any Optimization Objectives for Image Processing with LLM Agents
An LLM agent reads past loss weights and quality scores, then writes new loss weights, letting image processing models be trained toward non-differentiable objectives like IQA scores and text feedback.