Papers › Lasagna: Layered Score Distillation for Disentangled Object Relighting

Lasagna: Layered Score Distillation for Disentangled Object Relighting

30 Nov 2023arXiv:2312.00833archive 2025-07-28

Dina Bashkirova, Arijit Ray, Rupayan Mallick, Sarah Adel Bargal, Jianming Zhang, Ranjay Krishna, Kate Saenko

Professional artists, photographers, and other visual content creators use object relighting to establish their photo's desired effect. Unfortunately, manual tools that allow relighting have a steep learning curve and are difficult to master. Although generative editing methods now enable some forms of image editing, relighting is still beyond today's capabilities; existing methods struggle to keep other aspects of the image -- colors, shapes, and textures -- consistent after the edit. We propose Lasagna, a method that enables intuitive text-guided relighting control. Lasagna learns a lighting prior by using score distillation sampling to distill the prior of a diffusion model, which has been finetuned on synthetic relighting data. To train Lasagna, we curate a new synthetic dataset ReLiT, which contains 3D object assets re-lit from multiple light source locations. Despite training on synthetic images, quantitative results show that Lasagna relights real-world images while preserving other aspects of the input image, outperforming state-of-the-art text-guided image editing methods. Lasagna enables realistic and controlled results on natural images and digital art pieces and is preferred by humans over other methods in over 91% of cases. Finally, we demonstrate the versatility of our learning objective by extending it to allow colorization, another form of image editing.

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additive dbash/lasagna/shading_controlnet_trainer.py official repository ran no licence file found · pointer only · 04fcb5e3dd338040 · report
collate_fn dbash/lasagna/shading_dataset.py official repository ran no licence file found · pointer only · 8a3841921dadf1b1 · report
compute_upper_bound_luminosity dbash/lasagna/train_shading_sds.py official repository ran no licence file found · pointer only · e31fb2b90f65240b · report
convert_to_image dbash/lasagna/shading_controlnet_trainer.py official repository ran no licence file found · pointer only · 1cdfc813ca5de9eb · report
double_conv dbash/lasagna/unet_generator.py official repository ran · our draft was wrong no licence file found · pointer only · 6197a19b88fb1aed · report
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multiplicative dbash/lasagna/train_shading_sds.py official repository ran no licence file found · pointer only · c4b8ec9257697c97 · report

Tasks

ColorizationObjecttext-guided-image-editing

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Diffusion

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