Titlebook: Computer Vision – ACCV 2022; 16th Asian Conferenc Lei Wang,Juergen Gall,Rama Chellappa Conference proceedings 2023 The Editor(s) (if applic

Ligament

DualBLN: Dual Branch LUT-Aware Network for?Real-Time Image Retouchingem into a discrete 3D lattice. We propose . (Dual Branch LUT-aware Network) which innovatively incorporates the data representing the color transformation of 3D LUT into the real-time retouching process, which forces the network to learn the adaptive weights and the multiple 3D LUTs with strong repr

豐富

CSIE: Coded Strip-Patterns Image Enhancement Embedded in?Structured Light-Based Methods Besides degrading the visual perception of the CSI, this poor quality also significantly affects the performance of 3D model reconstruction. Most of the existing image-enhanced methods, however, focus on processing natural images but not CSI. In this paper, we propose a novel and effective CSI enha

Vulnerary

Teacher-Guided Learning for?Blind Image Quality Assessmentn, as a closely-related task with BIQA, can easily acquire training data without annotation. Moreover, both image semantic and distortion information are vital knowledge for the two tasks to predict and improve image quality. Inspired by these, this paper proposes a novel BIQA framework, which build

GAVEL

過份

Immunoglobulin

Gorilla

神圣不可

Self-Supervised Dehazing Network Using Physical Priorsimates a clear image, transmission map, and atmospheric airlight out of the input hazy image based on the Atmospheric Scattering Model (ASM). It is trained in a self-supervised manner, utilizing recent self-supervised training methods and physical prior knowledge for obtaining realistic outputs. Tha

adjacent

Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/234134.jpg