3 papers
cs.CV2025
F2IDiff: Real-world Image Super-resolution using Feature to Image Diffusion Foundation Model
Devendra K. Jangid, Ripon K. Saha, Dilshan Godaliyadda +3
With the advent of Generative AI, Single Image Super-Resolution (SISR) quality has seen substantial improvement, as the strong priors learned by Text-2-Image Diffusion (T2IDiff) Fo…
eess.IV2025
Direct Kernel Optimization: Efficient Design for Opto-Electronic Convolutional Neural Networks
Ali Almuallem, Harshana Weligampola, Abhiram Gnanasambandam +5
Hybrid opto-electronic neural networks combine optical front-ends with electronic back-ends to perform vision tasks, but joint end-to-end (E2E) optimization of optical and electron…
cs.CV2025
Shared Neural Space: Unified Precomputed Feature Encoding for Multi-Task and Cross Domain Vision
Jing Li, Oskar Bartosz, Chengyu Wang +3
The majority of AI models in imaging and vision are customized to perform on specific high-precision task. However, this strategy is inefficient for applications with a series of m…