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Soomin Lee

3 accepted papers

2026

Diffusion-Based sRGB Real Noise Generation via Prompt-Driven Noise Representation Learning

CVPR 2026

Denoising in the sRGB image space is challenging due to large noise variability. Although end-to-end methods perform well, their effectiveness in real-world scenarios is limited by the scarcity of real noisy-clean image pairs, which are expensive and difficult to collect. To address this limitation,

Cited by 0SourcecodeScholar
2022

Uncertainty Guided Policy for Active Robotic 3D Reconstruction Using Neural Radiance Fields

RA-L 2022

In this letter, we tackle the problem of active robotic 3D reconstruction of an object. In particular, we study how a mobile robot with an arm-held camera can select a favorable number of views to recover an object's 3D shape efficiently. Contrary to the existing solution to this problem, we leverag

Cited by 100SourceScholar
2021

Select, Extract and Generate: Neural Keyphrase Generation with Layer-wise Coverage Attention

ACL 2021long

Natural language processing techniques have demonstrated promising results in keyphrase generation. However, one of the major challenges in neural keyphrase generation is processing long documents using deep neural networks. Generally, documents are truncated before given as inputs to neural network…