ESDiff: Encoding Strategy-inspired Diffusion Model with Few-shot Learning for Color Image Inpainting
Fuente:
arXiv
Guardado en:
| Autores principales: | Zhang, Junyan, Li, Yan, Geng, Mengxiao, Shi, Liu, Liu, Qiegen |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Double-Constraint Diffusion Model with Nuclear Regularization for Ultra-low-dose PET Reconstruction
por: Geng, Mengxiao, et al.
Publicado: (2025)
por: Geng, Mengxiao, et al.
Publicado: (2025)
MSDiff: Multi-Scale Diffusion Model for Ultra-Sparse View CT Reconstruction
por: Zhang, Junyan, et al.
Publicado: (2024)
por: Zhang, Junyan, et al.
Publicado: (2024)
GR-Diffusion: 3D Gaussian Representation Meets Diffusion in Whole-Body PET Reconstruction
por: Geng, Mengxiao, et al.
Publicado: (2026)
por: Geng, Mengxiao, et al.
Publicado: (2026)
Meta-information Guided Cross-domain Synergistic Diffusion Model for Low-dose PET Reconstruction
por: Geng, Mengxiao, et al.
Publicado: (2025)
por: Geng, Mengxiao, et al.
Publicado: (2025)
DP-MDM: Detail-Preserving MR Reconstruction via Multiple Diffusion Models
por: Geng, Mengxiao, et al.
Publicado: (2024)
por: Geng, Mengxiao, et al.
Publicado: (2024)
Partitioned Hankel-based Diffusion Models for Few-shot Low-dose CT Reconstruction
por: Zhang, Wenhao, et al.
Publicado: (2024)
por: Zhang, Wenhao, et al.
Publicado: (2024)
GuidPaint: Class-Guided Image Inpainting with Diffusion Models
por: Wang, Qimin, et al.
Publicado: (2025)
por: Wang, Qimin, et al.
Publicado: (2025)
ALL-PET: A Low-resource and Low-shot PET Foundation Model in Projection Domain
por: Huang, Bin, et al.
Publicado: (2025)
por: Huang, Bin, et al.
Publicado: (2025)
Few-shot Unknown Class Discovery of Hyperspectral Images with Prototype Learning and Clustering
por: Liu, Chun, et al.
Publicado: (2025)
por: Liu, Chun, et al.
Publicado: (2025)
PrefPaint: Aligning Image Inpainting Diffusion Model with Human Preference
por: Liu, Kendong, et al.
Publicado: (2024)
por: Liu, Kendong, et al.
Publicado: (2024)
Few-shot Defect Image Generation based on Consistency Modeling
por: Shi, Qingfeng, et al.
Publicado: (2024)
por: Shi, Qingfeng, et al.
Publicado: (2024)
Unleashing In-context Learning of Autoregressive Models for Few-shot Image Manipulation
por: Lai, Bolin, et al.
Publicado: (2024)
por: Lai, Bolin, et al.
Publicado: (2024)
Physics-Guided Null-Space Diffusion with Sparse Masking for Corrective Sparse-View CT Reconstruction
por: Zhou, Zekun, et al.
Publicado: (2025)
por: Zhou, Zekun, et al.
Publicado: (2025)
Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation
por: Zhu, Muzhi, et al.
Publicado: (2024)
por: Zhu, Muzhi, et al.
Publicado: (2024)
Diffusion Transformer Model With Compact Prior for Low-dose PET Reconstruction
por: Huang, Bin, et al.
Publicado: (2024)
por: Huang, Bin, et al.
Publicado: (2024)
Structure Matters: Tackling the Semantic Discrepancy in Diffusion Models for Image Inpainting
por: Liu, Haipeng, et al.
Publicado: (2024)
por: Liu, Haipeng, et al.
Publicado: (2024)
Image Inpainting via Tractable Steering of Diffusion Models
por: Liu, Anji, et al.
Publicado: (2023)
por: Liu, Anji, et al.
Publicado: (2023)
HypDAE: Hyperbolic Diffusion Autoencoders for Hierarchical Few-shot Image Generation
por: Li, Lingxiao, et al.
Publicado: (2024)
por: Li, Lingxiao, et al.
Publicado: (2024)
Envisioning Class Entity Reasoning by Large Language Models for Few-shot Learning
por: Liu, Mushui, et al.
Publicado: (2024)
por: Liu, Mushui, et al.
Publicado: (2024)
Few-shot Semantic Encoding and Decoding for Video Surveillance
por: Cheng, Baoping, et al.
Publicado: (2025)
por: Cheng, Baoping, et al.
Publicado: (2025)
Retrieval-augmented Few-shot Medical Image Segmentation with Foundation Models
por: Zhao, Lin, et al.
Publicado: (2024)
por: Zhao, Lin, et al.
Publicado: (2024)
Zero-shot Dynamic MRI Reconstruction with Global-to-local Diffusion Model
por: Guan, Yu, et al.
Publicado: (2024)
por: Guan, Yu, et al.
Publicado: (2024)
PRO: Projection Domain Synthesis for CT Imaging
por: Chen, Kang, et al.
Publicado: (2025)
por: Chen, Kang, et al.
Publicado: (2025)
Virtual-mask Informed Prior for Sparse-view Dual-Energy CT Reconstruction
por: Chen, Zini, et al.
Publicado: (2025)
por: Chen, Zini, et al.
Publicado: (2025)
Deep Learning-based Image and Video Inpainting: A Survey
por: Quan, Weize, et al.
Publicado: (2024)
por: Quan, Weize, et al.
Publicado: (2024)
TurboFill: Adapting Few-step Text-to-image Model for Fast Image Inpainting
por: Xie, Liangbin, et al.
Publicado: (2025)
por: Xie, Liangbin, et al.
Publicado: (2025)
Adaptive Prompt Learning with SAM for Few-shot Scanning Probe Microscope Image Segmentation
por: Shen, Yao, et al.
Publicado: (2024)
por: Shen, Yao, et al.
Publicado: (2024)
Revisiting Continuity of Image Tokens for Cross-domain Few-shot Learning
por: Yi, Shuai, et al.
Publicado: (2025)
por: Yi, Shuai, et al.
Publicado: (2025)
FAD: Frequency Adaptation and Diversion for Cross-domain Few-shot Learning
por: Shi, Ruixiao, et al.
Publicado: (2025)
por: Shi, Ruixiao, et al.
Publicado: (2025)
Applying ViT in Generalized Few-shot Semantic Segmentation
por: Geng, Liyuan, et al.
Publicado: (2024)
por: Geng, Liyuan, et al.
Publicado: (2024)
Diffusion Models with Anisotropic Gaussian Splatting for Image Inpainting
por: Fein-Ashley, Jacob, et al.
Publicado: (2024)
por: Fein-Ashley, Jacob, et al.
Publicado: (2024)
RAD: Region-Aware Diffusion Models for Image Inpainting
por: Kim, Sora, et al.
Publicado: (2024)
por: Kim, Sora, et al.
Publicado: (2024)
DroneSR: Rethinking Few-shot Thermal Image Super-Resolution from Drone-based Perspective
por: Weng, Zhipeng, et al.
Publicado: (2025)
por: Weng, Zhipeng, et al.
Publicado: (2025)
Few to Big: Prototype Expansion Network via Diffusion Learner for Point Cloud Few-shot Semantic Segmentation
por: Zhao, Qianguang, et al.
Publicado: (2025)
por: Zhao, Qianguang, et al.
Publicado: (2025)
EraserDiT: Fast Video Inpainting with Diffusion Transformer Model
por: Liu, Jie, et al.
Publicado: (2025)
por: Liu, Jie, et al.
Publicado: (2025)
Few-shot Learner Parameterization by Diffusion Time-steps
por: Yue, Zhongqi, et al.
Publicado: (2024)
por: Yue, Zhongqi, et al.
Publicado: (2024)
Unbiased Semantic Decoding with Vision Foundation Models for Few-shot Segmentation
por: Wang, Jin, et al.
Publicado: (2025)
por: Wang, Jin, et al.
Publicado: (2025)
MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting
por: Huang, Jun, et al.
Publicado: (2025)
por: Huang, Jun, et al.
Publicado: (2025)
Metamon-GS: Enhancing Representability with Variance-Guided Densification and Light Encoding
por: Su, Junyan, et al.
Publicado: (2025)
por: Su, Junyan, et al.
Publicado: (2025)
TSAL: Few-shot Text Segmentation Based on Attribute Learning
por: Li, Chenming, et al.
Publicado: (2025)
por: Li, Chenming, et al.
Publicado: (2025)
Ejemplares similares
-
Double-Constraint Diffusion Model with Nuclear Regularization for Ultra-low-dose PET Reconstruction
por: Geng, Mengxiao, et al.
Publicado: (2025) -
MSDiff: Multi-Scale Diffusion Model for Ultra-Sparse View CT Reconstruction
por: Zhang, Junyan, et al.
Publicado: (2024) -
GR-Diffusion: 3D Gaussian Representation Meets Diffusion in Whole-Body PET Reconstruction
por: Geng, Mengxiao, et al.
Publicado: (2026) -
Meta-information Guided Cross-domain Synergistic Diffusion Model for Low-dose PET Reconstruction
por: Geng, Mengxiao, et al.
Publicado: (2025) -
DP-MDM: Detail-Preserving MR Reconstruction via Multiple Diffusion Models
por: Geng, Mengxiao, et al.
Publicado: (2024)