activity
20142026
most citedBlind Universal Bayesian Image Denoising with Gaussian Noise Level Learning

128 citations · 315 across the 51 of their papers we have counts for

collaborators

55 papers

cs.CV2026

ExpandDiff: Dynamic Range Expanding Diffusion for Single-Image HDR Reconstruction

Mehmet Emre andıran, Mehmet Emre Andıran, Zhuoqian Yang +3

Single-image HDR reconstruction requires inferring missing detail while preserving the visible content of an LDR image. Differences in sensor dynamic range and exposure cause LDR i…

cs.CV2026

Marigold V2: Revisiting Diffusion Transformers for Monocular Depth Estimation

Igor Pavlovic, Thiemo Wandel, Anton Obukhov +6

Monocular depth estimation is a ubiquitous yet highly ill-posed computer vision task, with downstream applications in scene reconstruction, computational photography, and robotics,…

cs.CV2026

Color Constancy in Hyperspectral Imaging via Reduced Spectral Spaces

G. Dofri Vidarsson, Liying Lu, Sabine Süsstrunk

Illuminant estimation aims to infer scene illumination from image measurements despite intrinsic ambiguities between surface reflectance and lighting. Most existing methods operate…

cs.NE2026

Neural Particle Automata: Learning Self-Organizing Particle Dynamics

Hyunsoo Kim, Ehsan Pajouheshgar, Sabine Süsstrunk +2

We introduce Neural Particle Automata (NPA), a Lagrangian generalization of Neural Cellular Automata (NCA) from static lattices to dynamic particle systems. Unlike classical Euleri…

math.CV2025

Hölder continuity and composition operators in pluriharmonic Bloch spaces

Jie Huang, Suman Das, Antti Rasila

We show a Hölder estimate of order for pluriharmonic Bloch mappings in the unit ball with respect to the Bergman metric. We apply this to…

cs.LG2024

Controlling the Fidelity and Diversity of Deep Generative Models via Pseudo Density

Shuangqi Li, Chen Liu, Tong Zhang +3

We introduce an approach to bias deep generative models, such as GANs and diffusion models, towards generating data with either enhanced fidelity or increased diversity. Our approa…