ShadeBench is a multimodal benchmark dataset for urban shade understanding that includes temporally varying shade maps, satellite imagery, building representations, and text to support shade generation, segmentation, and 3D reconstruction tasks.
R-lpips: An adversarially robust perceptual similarity metric.arXiv preprint arXiv:2307.15157
3 Pith papers cite this work. Polarity classification is still indexing.
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Art Arena evaluates how artistic styles from training data leak into AI-generated images without explicit prompts, revealing asymmetric blending due to differences in representational strength and interaction dynamics across models like Stable Diffusion.
VCF aligns CLIP image features to text embeddings via a lightweight aligner to enable dual image-text conditioning in Stable Diffusion at inference without concept-specific training.
citing papers explorer
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ShadeBench: A Benchmark Dataset for Building Shade Simulation in Sustainable Society
ShadeBench is a multimodal benchmark dataset for urban shade understanding that includes temporally varying shade maps, satellite imagery, building representations, and text to support shade generation, segmentation, and 3D reconstruction tasks.
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The Silent Brush: Evaluating Artistic Style Leakage in AI Art Generation
Art Arena evaluates how artistic styles from training data leak into AI-generated images without explicit prompts, revealing asymmetric blending due to differences in representational strength and interaction dynamics across models like Stable Diffusion.
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Injecting Image Guidance into Text-Conditioned Diffusion Models at Inference
VCF aligns CLIP image features to text embeddings via a lightweight aligner to enable dual image-text conditioning in Stable Diffusion at inference without concept-specific training.