"image reconstruction" Papers
17 papers found
LATINO-PRO: LAtent consisTency INverse sOlver with PRompt Optimization
Alessio Spagnoletti, Jean Prost, Andres Almansa et al.
ICCV 2025posterarXiv:2503.12615
9
citations
NEED: Cross-Subject and Cross-Task Generalization for Video and Image Reconstruction from EEG Signals
Shuai Huang, Huan Luo, Haodong Jing et al.
NeurIPS 2025oral
PatchDPO: Patch-level DPO for Finetuning-free Personalized Image Generation
Qihan Huang, Weilong Dai, Jinlong Liu et al.
CVPR 2025posterarXiv:2412.03177
10
citations
Rethinking Hebbian Principle: Low-Dimensional Structural Projection for Unsupervised Learning
Shikuang Deng, Jiayuan Zhang, Yuhang Wu et al.
NeurIPS 2025posterarXiv:2510.14810
Solving Inverse Problems with FLAIR
Julius Erbach, Dominik Narnhofer, Andreas Dombos et al.
NeurIPS 2025posterarXiv:2506.02680
7
citations
Adaptive Correspondence Scoring for Unsupervised Medical Image Registration
Xiaoran Zhang, John C. Stendahl, Lawrence H. Staib et al.
ECCV 2024posterarXiv:2312.00837
5
citations
A Diffusion-Based Framework for Multi-Class Anomaly Detection
Haoyang He, Jiangning Zhang, Hongxu Chen et al.
AAAI 2024paperarXiv:2312.06607
40
citations
Auto-Encoding Morph-Tokens for Multimodal LLM
Kaihang Pan, Siliang Tang, Juncheng Li et al.
ICML 2024spotlight
BARET: Balanced Attention Based Real Image Editing Driven by Target-Text Inversion
Yuming Qiao, Fanyi Wang, Jingwen Su et al.
AAAI 2024paperarXiv:2312.05482
Controllable Mind Visual Diffusion Model
Bohan Zeng, Shanglin Li, Xuhui Liu et al.
AAAI 2024paperarXiv:2305.10135
39
citations
CoSIGN: Few-Step Guidance of ConSIstency Model to Solve General INverse Problems
Jiankun Zhao, Bowen Song, Liyue Shen
ECCV 2024posterarXiv:2407.12676
10
citations
High-Fidelity Diffusion-Based Image Editing
Chen Hou, Guoqiang Wei, Zhibo Chen
AAAI 2024paperarXiv:2312.15707
Kepler codebook
Junrong Lian, Ziyue Dong, Pengxu Wei et al.
ICML 2024poster
Region-Native Visual Tokenization
Mengyu Wang, Yuyao Huang, Henghui Ding et al.
ECCV 2024poster
2
citations
Robustness of Deep Learning for Accelerated MRI: Benefits of Diverse Training Data
Kang Lin, Reinhard Heckel
ICML 2024poster
Test-time Model Adaptation for Image Reconstruction Using Self-supervised Adaptive Layers
Zhao Yutian, Tianjing Zhang, Hui JI
ECCV 2024poster
4
citations
Zero-Shot Adaptation for Approximate Posterior Sampling of Diffusion Models in Inverse Problems
Yasar Utku Alcalar, Mehmet Akcakaya
ECCV 2024posterarXiv:2407.11288
8
citations