3 papers
cs.CV2026
RGB Photo Enhancement with Deep Learning on Smartphone GPUs: Mobile AI 2026 Challenge Report
Andrey Ignatov, Georgy Perevozchikov, Radu Timofte +21
On-device RGB photo enhancement is a popular task that is needed for quality improvement of photos captured with mobile devices as well as for retouching of images acquired through…
cs.CV2026
Efficient Image Denoising on Smartphone GPUs: Mobile AI 2026 Challenge Report
Andrey Ignatov, Georgy Perevozchikov, Radu Timofte +17
Image denoising is a fundamental problem in mobile photography. Despite a large number of solutions proposed for this task, the majority of them are trained on synthetically produc…
cs.CV2026
MS-Resampler: Multi-Scope Visual Resampling for Efficient Multimodal LLMs
Zhongyang Li, Yaqian Li, Faming Fang +6
Multimodal large language models (MLLMs) typically employ resampling-based projectors to transform dense visual features into a compact token sequence for language modeling. Most e…