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Alara Dirik

2 accepted papers

2026

ReasonX: MLLM-Guided Intrinsic Image Decomposition

CVPR 2026

Intrinsic image decomposition aims to separate images into physical components such as albedo, depth, normals, and illumination. While recent diffusion- and transformer-based models benefit from paired supervision from synthetic datasets, their generalization to diverse, real-world scenarios remains

Cited by 0SourcecodeScholar
2022

FairStyle: Debiasing StyleGAN2 with Style Channel Manipulations

ECCV 2022poster

"Recent advances in generative adversarial networks have shown that it is possible to generate high-resolution and hyperrealistic images. However, the images produced by GANs are only as fair and representative as the datasets on which they are trained. In this paper, we propose a method for directl…