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Scaling-up Disentanglement for Image Translation
v1v2 (latest)

Scaling-up Disentanglement for Image Translation

IEEE International Conference on Computer Vision (ICCV), 2021
25 March 2021
Aviv Gabbay
Yedid Hoshen
    CoGe
ArXiv (abs)PDFHTMLGithub

Papers citing "Scaling-up Disentanglement for Image Translation"

12 / 12 papers shown
Transferring disentangled representations: bridging the gap between synthetic and real images
Transferring disentangled representations: bridging the gap between synthetic and real imagesNeural Information Processing Systems (NeurIPS), 2024
Jacopo Dapueto
Nicoletta Noceti
Francesca Odone
OOD
572
2
0
26 Sep 2024
Towards Identifiable Unsupervised Domain Translation: A Diversified Distribution Matching Approach
Towards Identifiable Unsupervised Domain Translation: A Diversified Distribution Matching Approach
Sagar Shrestha
Xiao Fu
431
6
0
18 Jan 2024
Disentangling Multi-view Representations Beyond Inductive Bias
Disentangling Multi-view Representations Beyond Inductive BiasACM Multimedia (ACM MM), 2023
Guanzhou Ke
Yang Yu
Guoqing Chao
Xiaoli Wang
Chenyang Xu
Shengfeng He
248
15
0
03 Aug 2023
General Image-to-Image Translation with One-Shot Image Guidance
General Image-to-Image Translation with One-Shot Image GuidanceIEEE International Conference on Computer Vision (ICCV), 2023
Bin Cheng
Zuhao Liu
Yunbo Peng
Yue-Hsun Lin
ViTDiffM
528
60
0
20 Jul 2023
GAN-based Facial Attribute Manipulation
GAN-based Facial Attribute ManipulationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Yunfan Liu
Qi Li
Qiyao Deng
Zhen Sun
Mingcong Yang
CVBM
312
41
0
23 Oct 2022
LANIT: Language-Driven Image-to-Image Translation for Unlabeled Data
LANIT: Language-Driven Image-to-Image Translation for Unlabeled DataComputer Vision and Pattern Recognition (CVPR), 2022
Jihye Park
Sunwoo Kim
Soohyun Kim
Seokju Cho
Jaejun Yoo
Youngjung Uh
Seung Wook Kim
VLM
500
12
0
31 Aug 2022
Red PANDA: Disambiguating Anomaly Detection by Removing Nuisance Factors
Red PANDA: Disambiguating Anomaly Detection by Removing Nuisance Factors
Niv Cohen
Jonathan Kahana
Yedid Hoshen
307
4
0
07 Jul 2022
InstaFormer: Instance-Aware Image-to-Image Translation with Transformer
InstaFormer: Instance-Aware Image-to-Image Translation with TransformerComputer Vision and Pattern Recognition (CVPR), 2022
Soohyun Kim
Jongbeom Baek
Jihye Park
Gyeongnyeon Kim
Seung Wook Kim
ViT
341
63
0
30 Mar 2022
A Contrastive Objective for Learning Disentangled Representations
A Contrastive Objective for Learning Disentangled RepresentationsEuropean Conference on Computer Vision (ECCV), 2022
Jonathan Kahana
Yedid Hoshen
SSL
137
17
0
21 Mar 2022
Predict, Prevent, and Evaluate: Disentangled Text-Driven Image
  Manipulation Empowered by Pre-Trained Vision-Language Model
Predict, Prevent, and Evaluate: Disentangled Text-Driven Image Manipulation Empowered by Pre-Trained Vision-Language ModelComputer Vision and Pattern Recognition (CVPR), 2021
Zipeng Xu
Tianwei Lin
Hao Tang
Fu Li
Dongliang He
Andrii Zadaianchuk
Radu Timofte
Luc Van Gool
Errui Ding
EGVM
434
48
0
26 Nov 2021
StyleAlign: Analysis and Applications of Aligned StyleGAN Models
StyleAlign: Analysis and Applications of Aligned StyleGAN ModelsInternational Conference on Learning Representations (ICLR), 2021
Zongze Wu
Yotam Nitzan
Eli Shechtman
Dani Lischinski
300
65
0
21 Oct 2021
An Image is Worth More Than a Thousand Words: Towards Disentanglement in
  the Wild
An Image is Worth More Than a Thousand Words: Towards Disentanglement in the WildNeural Information Processing Systems (NeurIPS), 2021
Aviv Gabbay
Niv Cohen
Yedid Hoshen
CoGeDRL
374
38
0
29 Jun 2021
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