22 citations · 40 across the 9 of their papers we have counts for
9 papers
MILO: A Lightweight Perceptual Quality Metric for Image and Latent-Space Optimization
Uğur Çoğalan, Mojtaba Bemana, Karol Myszkowski +2
We present MILO (Metric for Image- and Latent-space Optimization), a lightweight, multiscale, perceptual metric for full-reference image quality assessment (FR-IQA). MILO is traine…
Cinematic Gaussians: Real-Time HDR Radiance Fields with Depth of Field
Chao Wang, Krzysztof Wolski, Bernhard Kerbl +5
Radiance field methods represent the state of the art in reconstructing complex scenes from multi-view photos. However, these reconstructions often suffer from one or both of the f…
Bracket Diffusion: HDR Image Generation by Consistent LDR Denoising
Mojtaba Bemana, Thomas Leimkühler, Karol Myszkowski +2
We demonstrate generating HDR images using the concerted action of multiple black-box, pre-trained LDR image diffusion models. Relying on a pre-trained LDR generative diffusion mod…
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)…
Eikonal Fields for Refractive Novel-View Synthesis
Mojtaba Bemana, Karol Myszkowski, Jeppe Revall Frisvad +2
We tackle the problem of generating novel-view images from collections of 2D images showing refractive and reflective objects. Current solutions assume opaque or transparent light…
HDR Denoising and Deblurring by Learning Spatio-temporal Distortion Models
Uğur Çoğalan, Mojtaba Bemana, Karol Myszkowski +2
We seek to reconstruct sharp and noise-free high-dynamic range (HDR) video from a dual-exposure sensor that records different low-dynamic range (LDR) information in different pixel…