2 papers
cs.CV2026
Lightweight Low-Light Image Enhancement via Distribution-Normalizing Preprocessing and Depthwise U-Net
Shimon Murai, Teppei Kurita, Ryuta Satoh +1
We present a lightweight two-stage framework for low-light image enhancement (LLIE) that achieves competitive perceptual quality with significantly fewer parameters than existing m…
cs.CV2024
Revisiting Disparity from Dual-Pixel Images: Physics-Informed Lightweight Depth Estimation
Teppei Kurita, Yuhi Kondo, Legong Sun +5
In this study, we propose a high-performance disparity (depth) estimation method using dual-pixel (DP) images with few parameters. Conventional end-to-end deep-learning methods hav…