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7 papers · 1 filter
Explorable Tone Mapping Operators
Chien-Chuan Su, Ren Wang, Hung-Jin Lin +4
Tone-mapping plays an essential role in high dynamic range (HDR) imaging. It aims to preserve visual information of HDR images in a medium with a limited dynamic range. Although ma…
Crossing You in Style: Cross-modal Style Transfer from Music to Visual Arts
Cheng-Che Lee, Wan-Yi Lin, Yen-Ting Shih +2
Music-to-visual style transfer is a challenging yet important cross-modal learning problem in the practice of creativity. Its major difference from the traditional image style tran…
Trust-Region Method with Deep Reinforcement Learning in Analog Design Space Exploration
Kai-En Yang, Chia-Yu Tsai, Hung-Hao Shen +6
This paper introduces new perspectives on analog design space search. To minimize the time-to-market, this endeavor better cast as constraint satisfaction problem than global optim…
Learning Camera-Aware Noise Models
Ke-Chi Chang, Ren Wang, Hung-Jin Lin +4
Modeling imaging sensor noise is a fundamental problem for image processing and computer vision applications. While most previous works adopt statistical noise models, real-world n…
Deploying Image Deblurring across Mobile Devices: A Perspective of Quality and Latency
Cheng-Ming Chiang, Yu Tseng, Yu-Syuan Xu +13
Recently, image enhancement and restoration have become important applications on mobile devices, such as super-resolution and image deblurring. However, most state-of-the-art netw…
Unified Dynamic Convolutional Network for Super-Resolution with Variational Degradations
Yu-Syuan Xu, Shou-Yao Roy Tseng, Yu Tseng +2
Deep Convolutional Neural Networks (CNNs) have achieved remarkable results on Single Image Super-Resolution (SISR). Despite considering only a single degradation, recent studies al…