A two-stage framework that predicts a Canny edge map before rendering improves preservation of high-frequency identity details (logos, patterns, text) in subject-driven image generation.
Photomaker: Customizing re- alistic human photos via stacked id embedding
2 Pith papers cite this work. Polarity classification is still indexing.
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cs.CV 2years
2026 2representative citing papers
AttriStory adds a benchmark and AttriLoss-based latent optimization to improve faithful rendering of fine-grained attributes such as clothing color and texture in diffusion-model visual storytelling.
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Decomposing Subject-Driven Image Generation via Intermediate Structural Prediction
A two-stage framework that predicts a Canny edge map before rendering improves preservation of high-frequency identity details (logos, patterns, text) in subject-driven image generation.
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AttriStory: Fine-grained Attribute Realization for Visual Storytelling with Diffusion Models
AttriStory adds a benchmark and AttriLoss-based latent optimization to improve faithful rendering of fine-grained attributes such as clothing color and texture in diffusion-model visual storytelling.