Utae Jeong — accepted AI-conference papers

2026

CompMarkGS: Robust Watermarking for Compressed 3D Gaussian Splatting

Sumin In, Youngdong Jang, Utae Jeong, MinHyuk Jang, Hyeongcheol Park, Eunbyung Park +1

ICLR 2026poster

As 3D Gaussian Splatting (3DGS) is increasingly adopted in various academic and commercial applications due to its high-quality and real-time rendering capabilities, the need for copyright protection is growing. At the same time, its large model size requires efficient compression for storage and tr…

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2026

WaTeRFlow: Watermark Temporal Robustness via Flow Consistency

Utae Jeong, Sumin In, Hyunju Ryu, Jaewan Choi, Feng Yang, Jongheon Jeong +2

CVPR 2026

Image watermarking supports authenticity and provenance, yet many schemes are still easy to bypass with various distortions and powerful generative edits. Deep learning-based watermarking has improved robustness to diffusion-based image editing, but a gap remains when a watermarked image is converte

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