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20242026
most citedRetinex-Diffusion: On Controlling Illumination Conditions in Diffusion Models via Retinex Theory

2 citations · 2 across the 5 of their papers we have counts for

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cs.CV2026

Relighting as a Probe of Visual Priors via Augmented Latent Intrinsics

Xiaoyan Xing, Xiao Zhang, Sezer Karaoglu +2

Image-to-image relighting requires representations that separate illumination from scene properties while preserving dense geometry, material, and photometric cues. We use this tas…

cs.CV2026

GR3EN: Generative Relighting for 3D Environments

Xiaoyan Xing, Philipp Henzler, Junhwa Hur +4

We present a method for relighting 3D reconstructions of large room-scale environments. Existing solutions for 3D scene relighting often require solving under-determined or ill-con…

cs.CV2025

Towards Integrating Uncertainty for Domain-Agnostic Segmentation

Jesse Brouwers, Xiaoyan Xing, Alexander Timans

Foundation models for segmentation such as the Segment Anything Model (SAM) family exhibit strong zero-shot performance, but remain vulnerable in shifted or limited-knowledge domai…

cs.CV2025

GaussianBlender: Instant Stylization of 3D Gaussians with Disentangled Latent Spaces

Melis Ocal, Xiaoyan Xing, Yue Li +3

3D stylization is central to game development, virtual reality, and digital arts, where the demand for diverse assets calls for scalable methods that support fast, high-fidelity ma…

cs.CV20243 cited

LumiNet: Latent Intrinsics Meets Diffusion Models for Indoor Scene Relighting

Xiaoyan Xing, Konrad Groh, Sezer Karaoglu +2

We introduce LumiNet, a novel architecture that leverages generative models and latent intrinsic representations for effective lighting transfer. Given a source image and a target…

cs.CV20242 cited

Retinex-Diffusion: On Controlling Illumination Conditions in Diffusion Models via Retinex Theory

Xiaoyan Xing, Vincent Tao Hu, Jan Hendrik Metzen +3

This paper introduces a novel approach to illumination manipulation in diffusion models, addressing the gap in conditional image generation with a focus on lighting conditions. We…