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Beyond Synthetic Replays: Turning Diffusion Features into Few-Shot Class-Incremental Learning Knowledge
30 March 2025
Junsu Kim
Yunhoe Ku
Dongyoon Han
Seungryul Baek
DiffM
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Papers citing
"Beyond Synthetic Replays: Turning Diffusion Features into Few-Shot Class-Incremental Learning Knowledge"
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CLOSER: Towards Better Representation Learning for Few-Shot Class-Incremental Learning
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Sungyong Baik
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Rethinking Few-shot Class-incremental Learning: Learning from Yourself
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Object Pose Estimation via the Aggregation of Diffusion Features
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Guosheng Hu
Hongguang Wang
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27 Mar 2024
Open-Vocabulary Attention Maps with Token Optimization for Semantic Segmentation in Diffusion Models
Pablo Marcos-Manchón
Roberto Alcover-Couso
Juan C. Sanmiguel
Jose M. Martínez
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322
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21 Mar 2024
DiffClass: Diffusion-Based Class Incremental Learning
European Conference on Computer Vision (ECCV), 2024
Zichong Meng
Jie Zhang
Changdi Yang
Zheng Zhan
Pu Zhao
Yanzhi Wang
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385
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08 Mar 2024
SDDGR: Stable Diffusion-based Deep Generative Replay for Class Incremental Object Detection
Junsu Kim
Hoseong Cho
Jihyeon Kim
Yihalem Yimolal Tiruneh
Seungryul Baek
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550
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27 Feb 2024
Training-Free Consistent Text-to-Image Generation
ACM Transactions on Graphics (TOG), 2024
Yoad Tewel
Omri Kaduri
Rinon Gal
Yoni Kasten
Lior Wolf
Gal Chechik
Yuval Atzmon
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430
132
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05 Feb 2024
VideoSwap: Customized Video Subject Swapping with Interactive Semantic Point Correspondence
Computer Vision and Pattern Recognition (CVPR), 2023
Yuchao Gu
Yipin Zhou
Bichen Wu
Licheng Yu
Jia-Wei Liu
Rui Zhao
Jay Zhangjie Wu
David Junhao Zhang
Mike Zheng Shou
Kevin Tang
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449
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04 Dec 2023
Ctrl-Room: Controllable Text-to-3D Room Meshes Generation with Layout Constraints
International Conference on 3D Vision (3DV), 2023
Chuan Fang
Yuan Dong
Kunming Luo
Xiaotao Hu
Rakesh Shrestha
Ping Tan
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648
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05 Oct 2023
Text-image Alignment for Diffusion-based Perception
Computer Vision and Pattern Recognition (CVPR), 2023
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Markus Marks
Manuel Knott
Rogério Guimarães
Pietro Perona
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527
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29 Sep 2023
DragonDiffusion: Enabling Drag-style Manipulation on Diffusion Models
International Conference on Learning Representations (ICLR), 2023
Chong Mou
Xintao Wang
Jie Song
Ying Shan
Jian Zhang
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368
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05 Jul 2023
Class-Incremental Learning using Diffusion Model for Distillation and Replay
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Xin Liu
Yin Jun Phua
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30 Jun 2023
DragDiffusion: Harnessing Diffusion Models for Interactive Point-based Image Editing
Computer Vision and Pattern Recognition (CVPR), 2023
Yujun Shi
Chuhui Xue
Jun Hao Liew
Jiachun Pan
Hanshu Yan
Wenqing Zhang
Vincent Y. F. Tan
Song Bai
551
331
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26 Jun 2023
Emergent Correspondence from Image Diffusion
Neural Information Processing Systems (NeurIPS), 2023
Luming Tang
Menglin Jia
Qianqian Wang
Cheng Perng Phoo
Bharath Hariharan
578
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06 Jun 2023
Unsupervised Semantic Correspondence Using Stable Diffusion
Neural Information Processing Systems (NeurIPS), 2023
Eric Hedlin
Gopal Sharma
Shweta Mahajan
Hossam N. Isack
Abhishek Kar
Andrea Tagliasacchi
K. M. Yi
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436
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24 May 2023
A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence
Neural Information Processing Systems (NeurIPS), 2023
Junyi Zhang
Charles Herrmann
Junhwa Hur
Luisa Polania Cabrera
Varun Jampani
Deqing Sun
Ming-Hsuan Yang
DiffM
445
306
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24 May 2023
Diffusion Hyperfeatures: Searching Through Time and Space for Semantic Correspondence
Neural Information Processing Systems (NeurIPS), 2023
Grace Luo
Lisa Dunlap
Dong Huk Park
Aleksander Holynski
Trevor Darrell
468
210
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23 May 2023
A Survey on Few-Shot Class-Incremental Learning
Neural Networks (Neural Netw.), 2023
Song Tian
Lusi Li
Weijun Li
Hang Ran
Xin Ning
Prayag Tiwari
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502
180
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17 Apr 2023
DINOv2: Learning Robust Visual Features without Supervision
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Timothée Darcet
Théo Moutakanni
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Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning
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Zeyin Song
Yifan Zhao
Yujun Shi
Peixi Peng
Liuliang Yuan
Yonghong Tian
CLL
288
112
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02 Apr 2023
Unleashing Text-to-Image Diffusion Models for Visual Perception
IEEE International Conference on Computer Vision (ICCV), 2023
Wenliang Zhao
Yongming Rao
Zuyan Liu
Benlin Liu
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Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class Incremental Learning
International Conference on Learning Representations (ICLR), 2023
Jianlong Wu
Haobo Yuan
Hefei Ling
Zhouchen Lin
Juil Sock
Dacheng Tao
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360
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06 Feb 2023
GLIGEN: Open-Set Grounded Text-to-Image Generation
Computer Vision and Pattern Recognition (CVPR), 2023
Yuheng Li
Haotian Liu
Qingyang Wu
Fangzhou Mu
Jianwei Yang
Jianfeng Gao
Chunyuan Li
Yong Jae Lee
VLM
598
862
1
17 Jan 2023
Margin-Based Few-Shot Class-Incremental Learning with Class-Level Overfitting Mitigation
Neural Information Processing Systems (NeurIPS), 2022
Yixiong Zou
Shanghang Zhang
Yuhua Li
Rui Li
CLL
182
95
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10 Oct 2022
On the Soft-Subnetwork for Few-shot Class Incremental Learning
International Conference on Learning Representations (ICLR), 2022
Haeyong Kang
Jaehong Yoon
Sultan Rizky Hikmawan Madjid
Sung Ju Hwang
Chang D. Yoo
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415
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15 Sep 2022
An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion
International Conference on Learning Representations (ICLR), 2022
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Yuval Alaluf
Yuval Atzmon
Or Patashnik
Amit H. Bermano
Gal Chechik
Daniel Cohen-Or
754
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Few-Shot Class-Incremental Learning from an Open-Set Perspective
European Conference on Computer Vision (ECCV), 2022
Can Peng
Kun-li Zhao
Tianren Wang
Meng Li
Brian C. Lovell
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232
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Classifier-Free Diffusion Guidance
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Tim Salimans
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Few-Shot Class-Incremental Learning via Entropy-Regularized Data-Free Replay
European Conference on Computer Vision (ECCV), 2022
Huan Liu
Li Gu
Zhixiang Chi
Yang Wang
Yuanhao Yu
Jun Chen
Jingshan Tang
252
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Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Da-Wei Zhou
Han-Jia Ye
Liang Ma
Di Xie
Shiliang Pu
De-Chuan Zhan
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316
185
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Constrained Few-shot Class-incremental Learning
Computer Vision and Pattern Recognition (CVPR), 2022
Michael Hersche
G. Karunaratne
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Luca Benini
Abu Sebastian
Abbas Rahimi
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300
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Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network?
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Jianlong Wu
Shixiang Chen
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Liangru Xie
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Forward Compatible Few-Shot Class-Incremental Learning
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Fu Lee Wang
Han-Jia Ye
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De-Chuan Zhan
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354
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High-Resolution Image Synthesis with Latent Diffusion Models
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Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima
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SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations
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