8 citations · 21 across the 18 of their papers we have counts for
3 papers · 1 filter
Toward Efficient Deep Blind RAW Image Restoration
Marcos V. Conde, Florin Vasluianu, Radu Timofte
Multiple low-vision tasks such as denoising, deblurring and super-resolution depart from RGB images and further reduce the degradations, improving the quality. However, modeling th…
Compressed Depth Map Super-Resolution and Restoration: AIM 2024 Challenge Results
Marcos V. Conde, Florin-Alexandru Vasluianu, Jinhui Xiong +3
The increasing demand for augmented reality (AR) and virtual reality (VR) applications highlights the need for efficient depth information processing. Depth maps, essential for ren…
BSRAW: Improving Blind RAW Image Super-Resolution
Marcos V. Conde, Florin Vasluianu, Radu Timofte
In smartphones and compact cameras, the Image Signal Processor (ISP) transforms the RAW sensor image into a human-readable sRGB image. Most popular super-resolution methods depart…