Linearized Multi-Sampling for Differentiable Image Transformation

Type: Preprint

Publication Date: 2019-01-01

Citations: 0

DOI: https://doi.org/10.48550/arxiv.1901.07124

Locations

  • arXiv (Cornell University) - View - PDF
  • DataCite API - View

Similar Works

Action Title Year Authors
+ PDF Chat Linearized Multi-Sampling for Differentiable Image Transformation 2019 Wei Jiang
Weiwei Sun
Andrea Tagliasacchi
Eduard Trulls
Kwang Moo Yi
+ PDF Chat Entropy Transformer Networks: A Learning Approach via Tangent Bundle Data Manifold 2023 Pourya Shamsolmoali
Masoumeh Zareapoor
+ Entropy Transformer Networks: A Learning Approach via Tangent Bundle Data Manifold 2023 Pourya Shamsolmoali
Masoumeh Zareapoor
+ PDF Chat Understanding when spatial transformer networks do not support invariance, and what to do about it 2021 Lukas Finnveden
Ylva Jansson
Tony Lindeberg
+ PDF Chat LeRF: Learning Resampling Function for Adaptive and Efficient Image Interpolation 2024 Jiacheng Li
Chang Chen
Fenglong Song
Youliang Yan
Zhiwei Xiong
+ Spatially-Adaptive Pixelwise Networks for Fast Image Translation 2020 Tamar Rott Shaham
Michaël Gharbi
Richard Zhang
Eli Shechtman
Tomer Michaeli
+ Deep Sampling Networks 2017 Bolun Cai
Xiangmin Xu
Kailing Guo
Kui Jia
Dacheng Tao
+ PDF Chat Spatially-Adaptive Pixelwise Networks for Fast Image Translation 2021 Tamar Rott Shaham
Michaël Gharbi
Richard Zhang
Eli Shechtman
Tomer Michaeli
+ Titan: Bringing the Deep Image Prior to Implicit Representations 2024 Lorenzo Luzi
Daniel LeJeune
Ali Siahkoohi
Sina Alemohammad
Vishwanath Saragadam
Hossein Babaei
Naiming Liu
Zichao Wang
Richard G. Baraniuk
+ TITAN: Bringing The Deep Image Prior to Implicit Representations 2022 Daniel LeJeune
Lorenzo Luzi
Ali Siahkoohi
Sina Alemohammad
Vishwanath Saragadam
Hossein Babaei
Naiming Liu
Zichao Wang
Richard G. Baraniuk
+ ICON: Learning Regular Maps Through Inverse Consistency 2021 Hastings Greer
Roland Kwitt
François-Xavier Vialard
Marc Niethammer
+ ICON: Learning Regular Maps Through Inverse Consistency 2021 Hastings Greer
Roland Kwitt
François-Xavier Vialard
Marc Niethammer
+ ICON: Learning Regular Maps Through Inverse Consistency 2021 Hastings Greer
Roland Kwitt
François-Xavier Vialard
Marc Niethammer
+ PDF Chat FiT: Flexible Vision Transformer for Diffusion Model 2024 Zeyu Lu
Zidong Wang
Di Huang
Chengyue Wu
Xihui Liu
Wanli Ouyang
Lei Bai
+ PDF Chat Inverting Visual Representations with Detection Transformers 2024 Jan Rathjens
Shirin Reyhanian
David Kappel
Laurenz Wiskott
+ Smoother Network Tuning and Interpolation for Continuous-level Image Processing 2020 Hyeongmin Lee
Taeoh Kim
Hanbin Son
Sangwook Baek
Minsu Cheon
Sangyoun Lee
+ Learning Local Implicit Fourier Representation for Image Warping 2022 Jaewon Lee
Kwang Pyo Choi
Kyong Hwan Jin
+ Image Resizing by Reconstruction from Deep Features 2019 Moab Arar
Dov Danon
Daniel Cohen‐Or
Ariel Shamir
+ Image Resizing by Reconstruction from Deep Features 2019 Moab Arar
Dov Danon
Daniel Cohen‐Or
Ariel Shamir
+ PDF Chat Scaling Image Tokenizers with Grouped Spherical Quantization 2024 Jiangtao Wang
Zhen Qin
Yifan Zhang
Vincent Tao Hu
Björn Ommer
Rania Briq
Stefan Kesselheim

Works That Cite This (0)

Action Title Year Authors