heartburn 发表于 2025-3-30 10:14:19
AWNet: Attentive Wavelet Network for Image ISPpractices among the majority of smartphone users. However, due to the limited size of camera sensors on phone, the photographed image is still visually distinct to the one taken by the digital single-lens reflex (DSLR) camera. To narrow this performance gap, one is to redesign the camera image signa难解 发表于 2025-3-30 16:24:21
PyNET-CA: Enhanced PyNET with Channel Attention for End-to-End Mobile Image Signal Processingg, denoising, etc. Deep neural networks have shown promising results over hand-crafted ISP algorithms on solving these tasks separately, or even replacing the whole reconstruction process with one model. Here, we propose PyNET-CA, an end-to-end mobile ISP deep learning algorithm for RAW to RGB recon绑架 发表于 2025-3-30 18:50:32
http://reply.papertrans.cn/24/2343/234236/234236_53.pngKeratin 发表于 2025-3-30 23:39:02
BGGAN: Bokeh-Glass Generative Adversarial Network for Rendering Realistic Bokehnd of effect naturally. However, due to the limitation of sensors, smartphones cannot capture images with depth-of-field effects directly. In this paper, we propose a novel generator called Glass-Net, which generates bokeh images not relying on complex hardware. Meanwhile, the GAN-based method and p美丽的写 发表于 2025-3-31 02:09:36
http://reply.papertrans.cn/24/2343/234236/234236_55.pngSUE 发表于 2025-3-31 05:47:28
http://reply.papertrans.cn/24/2343/234236/234236_56.png四指套 发表于 2025-3-31 10:54:41
CA-GAN: Weakly Supervised Color Aware GAN for Controllable Makeup Transferor continuously is a desirable property for virtual try-on applications. We propose a new formulation for the makeup style transfer task, with the objective to learn a color controllable makeup style synthesis. We introduce CA-GAN, a generative model that learns to modify the color of specific objecjabber 发表于 2025-3-31 15:56:52
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