22 citations · 29 across the 6 of their papers we have counts for
6 papers
Reduced-order Neural Modeling with Differentiable Simulation for High-Detail Tactile Perception
Yuhu Guo, Zhikai Shen, Jiasheng Qu +4
Tactile perception is key to dexterous manipulation, yet simulating high-resolution elastomer deformation remains computationally prohibitive. Finite element methods (FEM) deliver…
Parameter-Free Neural Lens Blur Rendering for High-Fidelity Composites
Lingyan Ruan, Bin Chen, Taehyun Rhee
Consistent and natural camera lens blur is important for seamlessly blending 3D virtual objects into photographed real-scenes. Since lens blur typically varies with scene depth, th…
Revisiting Image Deblurring with an Efficient ConvNet
Lingyan Ruan, Mojtaba Bemana, Hans-peter Seidel +2
Image deblurring aims to recover the latent sharp image from its blurry counterpart and has a wide range of applications in computer vision. The Convolution Neural Networks (CNNs)…
GlowGAN: Unsupervised Learning of HDR Images from LDR Images in the Wild
Chao Wang, Ana Serrano, Xingang Pan +5
Most in-the-wild images are stored in Low Dynamic Range (LDR) form, serving as a partial observation of the High Dynamic Range (HDR) visual world. Despite limited dynamic range, th…
Learning to Deblur using Light Field Generated and Real Defocus Images
Lingyan Ruan, Bin Chen, Jizhou Li +1
Defocus deblurring is a challenging task due to the spatially varying nature of defocus blur. While deep learning approach shows great promise in solving image restoration problems…
Learning a self-supervised tone mapping operator via feature contrast masking loss
Chao Wang, Bin Chen, Hans-Peter Seidel +2
High Dynamic Range (HDR) content is becoming ubiquitous due to the rapid development of capture technologies. Nevertheless, the dynamic range of common display devices is still lim…