◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Lucas Theis

28 papers hereh-index 2718.5k citations49 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author11
  • middle author10
  • last author7

Across the 28 of 28 papers where every author was matched, so the position is known.

fields
  • stat.ML10
  • cs.CV9
  • cs.IT4
  • cs.CR1
  • cs.LG1
  • eess.IV1
same name
  • Lucas Theis — 7 papers, h 5

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20102023
most citedA note on the evaluation of generative models

411 citations · 1.7k across the 27 of their papers we have counts for

collaborators
Showing 2016Show all

4 papers · 1 filter

cs.CV2016★ 7 cited

Fast Face-swap Using Convolutional Neural Networks

Iryna Korshunova, Wenzhe Shi, Joni Dambre +1

We consider the problem of face swapping in images, where an input identity is transformed into a target identity while preserving pose, facial expression, and lighting. To perform…

cs.CV2016★ 155 cited

Amortised MAP Inference for Image Super-resolution

Casper Kaae Sønderby, Jose Caballero, Lucas Theis +2

Image super-resolution (SR) is an underdetermined inverse problem, where a large number of plausible high-resolution images can explain the same downsampled image. Most current sin…

cs.CV2016★ 108 cited

Is the deconvolution layer the same as a convolutional layer?

Wenzhe Shi, Jose Caballero, Lucas Theis +4

In this note, we want to focus on aspects related to two questions most people asked us at CVPR about the network we presented. Firstly, What is the relationship between our propos…

cs.CV2016

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Christian Ledig, Lucas Theis, Ferenc Huszar +8

Despite the breakthroughs in accuracy and speed of single image super-resolution using faster and deeper convolutional neural networks, one central problem remains largely unsolved…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.