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cs.CV2026
Language-Assisted Super-Resolution from Real-World Low-Resolution Patches
Joonkyu Park, Kyoung Mu Lee
Single image super-resolution aims to reconstruct high-resolution (HR) images from low-resolution (LR) inputs. Training SR models typically requires paired HR-LR data, which is dif…
cs.CV2024
GS-Blur: A 3D Scene-Based Dataset for Realistic Image Deblurring
Dongwoo Lee, Joonkyu Park, Kyoung Mu Lee
To train a deblurring network, an appropriate dataset with paired blurry and sharp images is essential. Existing datasets collect blurry images either synthetically by aggregating…
cs.CV2023
3DHR-Co: A Collaborative Test-time Refinement Framework for In-the-Wild 3D Human-Body Reconstruction Task
Jonathan Samuel Lumentut, Kyoung Mu Lee
The field of 3D human-body reconstruction (abbreviated as 3DHR) that utilizes parametric pose and shape representations has witnessed significant advancements in recent years. Howe…