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20162022
most citedGuided Image Generation with Conditional Invertible Neural Networks

264 citations · 371 across the 13 of their papers we have counts for

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29 papers · 1 filter

cs.CV2022

Towards Multimodal Depth Estimation from Light Fields

Titus Leistner, Radek Mackowiak, Lynton Ardizzone +2

Light field applications, especially light field rendering and depth estimation, developed rapidly in recent years. While state-of-the-art light field rendering methods handle semi…

cs.CV2022

Spatio-Temporal Outdoor Lighting Aggregation on Image Sequences using Transformer Networks

Haebom Lee, Christian Homeyer, Robert Herzog +2

In this work, we focus on outdoor lighting estimation by aggregating individual noisy estimates from images, exploiting the rich image information from wide-angle cameras and/or te…

cs.CV2021

On the Limits of Pseudo Ground Truth in Visual Camera Re-localisation

Eric Brachmann, Martin Humenberger, Carsten Rother +1

Benchmark datasets that measure camera pose accuracy have driven progress in visual re-localisation research. To obtain poses for thousands of images, it is common to use a referen…

cs.CV2021

Conditional Invertible Neural Networks for Diverse Image-to-Image Translation

Lynton Ardizzone, Jakob Kruse, Carsten Lüth +3

We introduce a new architecture called a conditional invertible neural network (cINN), and use it to address the task of diverse image-to-image translation for natural images. This…

cs.CV2021

Fusion Moves for Graph Matching

Lisa Hutschenreiter, Stefan Haller, Lorenz Feineis +3

We contribute to approximate algorithms for the quadratic assignment problem also known as graph matching. Inspired by the success of the fusion moves technique developed for multi…

cs.CV20203 cited

Representing Ambiguity in Registration Problems with Conditional Invertible Neural Networks

Darya Trofimova, Tim Adler, Lisa Kausch +5

Image registration is the basis for many applications in the fields of medical image computing and computer assisted interventions. One example is the registration of 2D X-ray imag…