Repeat and Concatenate: 2D to 3D Image Translation with 3D to 3D Generative Modeling

26 June 2024

Papers citing "Repeat and Concatenate: 2D to 3D Image Translation with 3D to 3D Generative Modeling"

21 / 21 papers shown

Title
Enhancing Perception and Immersion in Pre-Captured Environments through Learning-Based Eye Height Adaptation Qi Feng Hubert P. H. Shum Shigeo Morishima MDE 79 2 0 24 Aug 2023
Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review Aghiles Kebaili J. Lapuyade-Lahorgue S. Ruan MedIm 75 153 0 24 Jul 2023
(LC) $^2$ : LiDAR-Camera Loop Constraints For Cross-Modal Place Recognition A. Lee Seungwon Song Hyungtae Lim Woojoo Lee Hyun Myung 78 18 0 17 Apr 2023
Perspective Projection-Based 3D CT Reconstruction from Biplanar X-rays Daeun Kyung Kyungmin Jo Jaegul Choo Joonseok Lee Edward Choi 31 15 0 09 Mar 2023
Inflating 2D Convolution Weights for Efficient Generation of 3D Medical Images Yanbin Liu Girish Dwivedi F. Boussaïd Frank M. Sanfilippo Makoto Yamada Bennamoun DiffM MedIm 66 11 0 08 Aug 2022
Efficient Pix2Vox++ for 3D Cardiac Reconstruction from 2D echo views D. Stojanovski Uxio Hermida M. Muffoletto P. Lamata A. Beqiri Alberto Gómez 39 8 0 27 Jul 2022
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 298 30,152 0 01 Mar 2022
MedNeRF: Medical Neural Radiance Fields for Reconstructing 3D-aware CT-Projections from a Single X-ray Abril Corona-Figueroa Jonathan Frawley Sam Bond-Taylor S. Bethapudi Hubert P. H. Shum Chris G. Willcocks MedIm 95 79 0 02 Feb 2022
Neural Optimal Transport Alexander Korotin Daniil Selikhanovych Evgeny Burnaev OT 199 99 0 28 Jan 2022
Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images Ali Hatamizadeh V. Nath Yucheng Tang Dong Yang H. Roth Daguang Xu ViT MedIm 123 1,142 0 04 Jan 2022
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs Zhisheng Xiao Karsten Kreis Arash Vahdat DiffM 102 560 0 15 Dec 2021
End-to-End Simultaneous Learning of Single-particle Orientation and 3D Map Reconstruction from Cryo-electron Microscopy Data Y. Nashed Frédéric Poitevin Harshit Gupta G. Woollard Michael Kagan Chuck Yoon Daniel Ratner 3DV 44 7 0 07 Jul 2021
Priors in Bayesian Deep Learning: A Review Vincent Fortuin UQCV BDL 122 132 0 14 May 2021
UNIT-DDPM: UNpaired Image Translation with Denoising Diffusion Probabilistic Models Hiroshi Sasaki Chris G. Willcocks T. Breckon DiffM 54 165 0 12 Apr 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models Sam Bond-Taylor Adam Leach Yang Long Chris G. Willcocks VLM TPM 148 505 0 08 Mar 2021
Differentiable Augmentation for Data-Efficient GAN Training Shengyu Zhao Zhijian Liu Ji Lin Jun-Yan Zhu Song Han 114 607 0 18 Jun 2020
Training Generative Adversarial Networks with Limited Data Tero Karras M. Aittala Janne Hellsten S. Laine J. Lehtinen Timo Aila GAN 178 1,890 0 11 Jun 2020
X2CT-GAN: Reconstructing CT from Biplanar X-Rays with Generative Adversarial Networks Xingde Ying Heng Guo Kai Ma Jian Wu Z. Weng Yefeng Zheng GAN MedIm 64 192 0 16 May 2019
Interpolating between Optimal Transport and MMD using Sinkhorn Divergences Jean Feydy Thibault Séjourné François-Xavier Vialard S. Amari A. Trouvé Gabriel Peyré OT 70 532 0 18 Oct 2018
Artificial Intelligence and Statistics Bin Yu Karl Kumbier 67 164 0 08 Dec 2017
Learning Generative Models with Sinkhorn Divergences Aude Genevay Gabriel Peyré Marco Cuturi OT 200 632 0 01 Jun 2017