activity
20202026
most citedSelf-Supervised Shadow Removal

8 citations · 21 across the 18 of their papers we have counts for

collaborators
Showing 2025Show all

7 papers · 1 filter

cs.CV2025

NTIRE 2025 Challenge on Low Light Image Enhancement: Methods and Results

Xiaoning Liu, Zongwei Wu, Florin-Alexandru Vasluianu +102

This paper presents a comprehensive review of the NTIRE 2025 Low-Light Image Enhancement (LLIE) Challenge, highlighting the proposed solutions and final outcomes. The objective of…

cs.CV2025

AIM 2025 Challenge on High FPS Motion Deblurring: Methods and Results

George Ciubotariu, Florin-Alexandru Vasluianu, Zhuyun Zhou +44

This paper presents a comprehensive review of the AIM 2025 High FPS Non-Uniform Motion Deblurring Challenge, highlighting the proposed solutions and final results. The objective of…

cs.CV2025

After the Party: Navigating the Mapping From Color to Ambient Lighting

Florin-Alexandru Vasluianu, Tim Seizinger, Zongwei Wu +1

Illumination in practical scenarios is inherently complex, involving colored light sources, occlusions, and diverse material interactions that produce intricate reflectance and sha…

cs.CV2025

AIM 2025 Rip Current Segmentation (RipSeg) Challenge Report

Andrei Dumitriu, Florin Miron, Florin Tatui +24

This report presents an overview of the AIM 2025 RipSeg Challenge, a competition designed to advance techniques for automatic rip current segmentation in still images. Rip currents…

cs.CV2025

NTIRE 2025 Image Shadow Removal Challenge Report

Florin-Alexandru Vasluianu, Tim Seizinger, Zhuyun Zhou +79

This work examines the findings of the NTIRE 2025 Shadow Removal Challenge. A total of 306 participants have registered, with 17 teams successfully submitting their solutions durin…

cs.CV2025

Bokehlicious: Photorealistic Bokeh Rendering with Controllable Apertures

Tim Seizinger, Florin-Alexandru Vasluianu, Marcos V. Conde +2

Bokeh rendering methods play a key role in creating the visually appealing, softly blurred backgrounds seen in professional photography. While recent learning-based approaches show…

cs.CV2025

A Simple Combination of Diffusion Models for Better Quality Trade-Offs in Image Denoising

Jonas Dornbusch, Emanuel Pfarr, Florin-Alexandru Vasluianu +2

Diffusion models have garnered considerable interest in computer vision, owing both to their capacity to synthesize photorealistic images and to their proven effectiveness in image…