3 papers
cs.CV2026
DEAR: Dataset for Evaluating the Aesthetics of Rendering
Vsevolod Plohotnuk, Artyom Panshin, Nikola BaniÄ +3
Traditional Image Quality Assessment~(IQA) focuses on quantifying technical degradations such as noise, blur, or compression artifacts, using both full-reference and no-reference o…
cs.CV2025
The Tenth NTIRE 2025 Efficient Super-Resolution Challenge Report
Bin Ren, Hang Guo, Lei Sun +143
This paper presents a comprehensive review of the NTIRE 2025 Challenge on Single-Image Efficient Super-Resolution (ESR). The challenge aimed to advance the development of deep mode…
cs.CV2025
Visual RAG: Expanding MLLM visual knowledge without fine-tuning
Mirco Bonomo, Simone Bianco
Multimodal Large Language Models (MLLMs) have achieved notable performance in computer vision tasks that require reasoning across visual and textual modalities, yet their capabilit…