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Local Content-Style Control for Diffusion-based Image Stylization

Paper recorded by Signals 4 on 2026-10-06 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-06 on arXiv · recorded by Signals 4 on 2026-10-07

Category: cs.CV · 计算机视觉 · first seen 2026-10-07

Abstract

Image stylization with latent-diffusion models entangles two independently refined axes: what a region depicts and how it is depicted. Such pipelines expose only global controls, yet professional retouching demands deliberate, region-specific control. We lift two conditioning weights already present in a ControlNet + IP-Adapter stylization pipeline from global scalars to per-location spatial maps,

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#343 most recent of 756 cs.CV papers we have recorded · ↑ newer: SpaTime: Streaming Vision-Language Models for Spatio-temporal Reasonin · ↓ older: RenderBench: Benchmarking Render-to-Real Video Transfer with Reconstru
Cite this page: Local Content-Style Control for Diffusion-based Image Stylization: the #343 most recent of 756 cs.CV papers we have recorded (as of 2026-10-06). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/local-content-style-control-for-diffusion-based-image-stylization.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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