Ligament
发表于 2025-3-30 08:49:22
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
丰富
发表于 2025-3-30 15:21:44
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
发表于 2025-3-30 18:21:02
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
发表于 2025-3-30 23:27:00
http://reply.papertrans.cn/24/2342/234134/234134_54.png
过份
发表于 2025-3-31 02:09:30
http://reply.papertrans.cn/24/2342/234134/234134_55.png
Immunoglobulin
发表于 2025-3-31 08:35:18
http://reply.papertrans.cn/24/2342/234134/234134_56.png
Gorilla
发表于 2025-3-31 09:56:58
http://reply.papertrans.cn/24/2342/234134/234134_57.png
神圣不可
发表于 2025-3-31 13:54:57
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
发表于 2025-3-31 17:58:50
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/234134.jpg