Nontawat Tritrong — accepted AI-conference papers

2025

LUSD: Localized Update Score Distillation for Text-Guided Image Editing

Worameth Chinchuthakun, Tossaporn Saengja, Nontawat Tritrong, Pitchaporn Rewatbowornwong, Pramook Khungurn, Supasorn Suwajanakorn

ICCV 2025poster

While diffusion models show promising results in image editing given a target prompt, achieving both prompt fidelity and background preservation remains difficult. Recent works have introduced score distillation techniques that leverage the rich generative prior of text-to-image diffusion models to…

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2023

DiFaReli: Diffusion Face Relighting

Puntawat Ponglertnapakorn, Nontawat Tritrong, Supasorn Suwajanakorn

ICCV 2023poster

We present a novel approach to single-view face relighting in the wild. Handling non-diffuse effects, such as global illumination or cast shadows, has long been a challenge in face relighting. Prior work often assumes Lambertian surfaces, simplified lighting models or involves estimating 3D shape, a…

Cited by 35 PDF ↗code ↗Scholar ↗

2021

Repurposing GANs for One-Shot Semantic Part Segmentation

Nontawat Tritrong, Pitchaporn Rewatbowornwong, Supasorn Suwajanakorn

CVPR 2021poster

While GANs have shown success in realistic image generation, the idea of using GANs for other tasks unrelated to synthesis is underexplored. Do GANs learn meaningful structural parts of objects during their attempt to reproduce those objects? In this work, we test this hypothesis and propose a simpl…

Cited by 112 PDF ↗Scholar ↗