ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2407.07078
  4. Cited By
MoSt-DSA: Modeling Motion and Structural Interactions for Direct
  Multi-Frame Interpolation in DSA Images

MoSt-DSA: Modeling Motion and Structural Interactions for Direct Multi-Frame Interpolation in DSA Images

9 July 2024
Ziyang Xu
Huangxuan Zhao
Ziwei Cui
Wenyu Liu
Chuansheng Zheng
Xinggang Wang
ArXivPDFHTML

Papers citing "MoSt-DSA: Modeling Motion and Structural Interactions for Direct Multi-Frame Interpolation in DSA Images"

7 / 7 papers shown
Title
GaraMoSt: Parallel Multi-Granularity Motion and Structural Modeling for
  Efficient Multi-Frame Interpolation in DSA Images
GaraMoSt: Parallel Multi-Granularity Motion and Structural Modeling for Efficient Multi-Frame Interpolation in DSA Images
Ziyang Xu
Huangxuan Zhao
Wei Liu
Xinyu Wang
69
0
0
18 Dec 2024
Extracting Motion and Appearance via Inter-Frame Attention for Efficient
  Video Frame Interpolation
Extracting Motion and Appearance via Inter-Frame Attention for Efficient Video Frame Interpolation
Guozhen Zhang
Yuhan Zhu
Hongya Wang
Youxin Chen
Gangshan Wu
Limin Wang
71
84
0
01 Mar 2023
IFRNet: Intermediate Feature Refine Network for Efficient Frame
  Interpolation
IFRNet: Intermediate Feature Refine Network for Efficient Frame Interpolation
Lingtong Kong
Boyuan Jiang
Donghao Luo
Wenqing Chu
Xiaoming Huang
Ying Tai
Chengjie Wang
Jie Yang
74
146
0
29 May 2022
LambdaNetworks: Modeling Long-Range Interactions Without Attention
LambdaNetworks: Modeling Long-Range Interactions Without Attention
Irwan Bello
272
179
0
17 Feb 2021
Image Inpainting for Irregular Holes Using Partial Convolutions
Image Inpainting for Irregular Holes Using Partial Convolutions
Guilin Liu
F. Reda
Kevin J. Shih
Ting-Chun Wang
Andrew Tao
Bryan Catanzaro
142
1,913
0
20 Apr 2018
Real-Time Single Image and Video Super-Resolution Using an Efficient
  Sub-Pixel Convolutional Neural Network
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Wenzhe Shi
Jose Caballero
Ferenc Huszár
J. Totz
Andrew P. Aitken
Rob Bishop
Daniel Rueckert
Zehan Wang
SupR
195
5,176
0
16 Sep 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
300
75,834
0
18 May 2015
1