8 citations · 15 across the 5 of their papers we have counts for
9 papers
CRISPnet: Color Rendition ISP Net
Matheus Souza, Wolfgang Heidrich
Image signal processors (ISPs) are historically grown legacy software systems for reconstructing color images from noisy raw sensor measurements. They are usually composited of man…
Neural Adaptive SCEne Tracing
Rui Li, Darius Rückert, Yuanhao Wang +2
Neural rendering with implicit neural networks has recently emerged as an attractive proposition for scene reconstruction, achieving excellent quality albeit at high computational…
NeAT: Neural Adaptive Tomography
Darius Rückert, Yuanhao Wang, Rui Li +2
In this paper, we present Neural Adaptive Tomography (NeAT), the first adaptive, hierarchical neural rendering pipeline for multi-view inverse rendering. Through a combination of n…
ISP-Agnostic Image Reconstruction for Under-Display Cameras
Miao Qi, Yuqi Li, Wolfgang Heidrich
Under-display cameras have been proposed in recent years as a way to reduce the form factor of mobile devices while maximizing the screen area. Unfortunately, placing the camera be…
Mask-ToF: Learning Microlens Masks for Flying Pixel Correction in Time-of-Flight Imaging
Ilya Chugunov, Seung-Hwan Baek, Qiang Fu +2
We introduce Mask-ToF, a method to reduce flying pixels (FP) in time-of-flight (ToF) depth captures. FPs are pervasive artifacts which occur around depth edges, where light paths f…
Stochastic Convolutional Sparse Coding
Jinhui Xiong, Peter Richtárik, Wolfgang Heidrich
State-of-the-art methods for Convolutional Sparse Coding usually employ Fourier-domain solvers in order to speed up the convolution operators. However, this approach is not without…