Leveraging the Powerful Attention of a Pre-trained Diffusion Model for Exemplar-based Image Colorization
Fuente:
arXiv
Saved in:
| Main Author: | Kosugi, Satoshi |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Prompt-Guided Image-Adaptive Neural Implicit Lookup Tables for Interpretable Image Enhancement
by: Kosugi, Satoshi
Published: (2024)
by: Kosugi, Satoshi
Published: (2024)
AttentionDrag: Exploiting Latent Correlation Knowledge in Pre-trained Diffusion Models for Image Editing
by: Yang, Biao, et al.
Published: (2025)
by: Yang, Biao, et al.
Published: (2025)
ReEdit: Multimodal Exemplar-Based Image Editing with Diffusion Models
by: Srivastava, Ashutosh, et al.
Published: (2024)
by: Srivastava, Ashutosh, et al.
Published: (2024)
IRBridge: Solving Image Restoration Bridge with Pre-trained Generative Diffusion Models
by: Wang, Hanting, et al.
Published: (2025)
by: Wang, Hanting, et al.
Published: (2025)
EBDM: Exemplar-guided Image Translation with Brownian-bridge Diffusion Models
by: Lee, Eungbean, et al.
Published: (2024)
by: Lee, Eungbean, et al.
Published: (2024)
Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation
by: Chen, Jingxi, et al.
Published: (2024)
by: Chen, Jingxi, et al.
Published: (2024)
Leveraging Pre-trained Models for FF-to-FFPE Histopathological Image Translation
by: Zhang, Qilai, et al.
Published: (2024)
by: Zhang, Qilai, et al.
Published: (2024)
Leveraging Vision-Language Pre-training for Human Activity Recognition in Still Images
by: Mahanta, Cristina, et al.
Published: (2025)
by: Mahanta, Cristina, et al.
Published: (2025)
MaskDiffusion: Exploiting Pre-trained Diffusion Models for Semantic Segmentation
by: Kawano, Yasufumi, et al.
Published: (2024)
by: Kawano, Yasufumi, et al.
Published: (2024)
Diffusion Model Meets Non-Exemplar Class-Incremental Learning and Beyond
by: Zhang, Jichuan, et al.
Published: (2024)
by: Zhang, Jichuan, et al.
Published: (2024)
Learning on Less: Constraining Pre-trained Model Learning for Generalizable Diffusion-Generated Image Detection
by: Chen, Yingjian, et al.
Published: (2024)
by: Chen, Yingjian, et al.
Published: (2024)
PairEdit: Learning Semantic Variations for Exemplar-based Image Editing
by: Lu, Haoguang, et al.
Published: (2025)
by: Lu, Haoguang, et al.
Published: (2025)
Appearance Matching Adapter for Exemplar-based Semantic Image Synthesis in-the-Wild
by: Jin, Siyoon, et al.
Published: (2024)
by: Jin, Siyoon, et al.
Published: (2024)
Temporal-Consistent Video Restoration with Pre-trained Diffusion Models
by: Wang, Hengkang, et al.
Published: (2025)
by: Wang, Hengkang, et al.
Published: (2025)
Scalable Pre-training of Large Autoregressive Image Models
by: El-Nouby, Alaaeldin, et al.
Published: (2024)
by: El-Nouby, Alaaeldin, et al.
Published: (2024)
Leveraging Pre-trained Models for Robust Federated Learning for Kidney Stone Type Recognition
by: Reyes-Amezcua, Ivan, et al.
Published: (2024)
by: Reyes-Amezcua, Ivan, et al.
Published: (2024)
Learning from Exemplars for Interactive Image Segmentation
by: Li, Kun, et al.
Published: (2024)
by: Li, Kun, et al.
Published: (2024)
Synthetic Data Augmentation using Pre-trained Diffusion Models for Long-tailed Food Image Classification
by: Koh, GaYeon, et al.
Published: (2025)
by: Koh, GaYeon, et al.
Published: (2025)
Control Color: Multimodal Diffusion-based Interactive Image Colorization
by: Liang, Zhexin, et al.
Published: (2024)
by: Liang, Zhexin, et al.
Published: (2024)
Attention Prompt Tuning: Parameter-efficient Adaptation of Pre-trained Models for Spatiotemporal Modeling
by: Bandara, Wele Gedara Chaminda, et al.
Published: (2024)
by: Bandara, Wele Gedara Chaminda, et al.
Published: (2024)
Exemplar Diffusion: Improving Medical Object Detection with Opportunistic Labels
by: Wåhlstrand, Victor, et al.
Published: (2026)
by: Wåhlstrand, Victor, et al.
Published: (2026)
NIL: No-data Imitation Learning by Leveraging Pre-trained Video Diffusion Models
by: Albaba, Mert, et al.
Published: (2025)
by: Albaba, Mert, et al.
Published: (2025)
Generative Preprocessing for Image Compression with Pre-trained Diffusion Models
by: Guo, Mengxi, et al.
Published: (2025)
by: Guo, Mengxi, et al.
Published: (2025)
Leveraging Procedural Knowledge and Task Hierarchies for Efficient Instructional Video Pre-training
by: Samel, Karan, et al.
Published: (2025)
by: Samel, Karan, et al.
Published: (2025)
Training-Free Semantic Video Composition via Pre-trained Diffusion Model
by: Guo, Jiaqi, et al.
Published: (2024)
by: Guo, Jiaqi, et al.
Published: (2024)
SAMIRO: Spatial Attention Mutual Information Regularization with a Pre-trained Model as Oracle for Lane Detection
by: Lee, Hyunjong, et al.
Published: (2025)
by: Lee, Hyunjong, et al.
Published: (2025)
Reinforcing Pre-trained Models Using Counterfactual Images
by: Li, Xiang, et al.
Published: (2024)
by: Li, Xiang, et al.
Published: (2024)
Ordinal Diffusion Models for Color Fundus Images
by: Schmidt, Gustav, et al.
Published: (2026)
by: Schmidt, Gustav, et al.
Published: (2026)
Should VLMs be Pre-trained with Image Data?
by: Keh, Sedrick, et al.
Published: (2025)
by: Keh, Sedrick, et al.
Published: (2025)
EWC-Guided Diffusion Replay for Exemplar-Free Continual Learning in Medical Imaging
by: Harit, Anoushka, et al.
Published: (2025)
by: Harit, Anoushka, et al.
Published: (2025)
Pre-trained Models Succeed in Medical Imaging with Representation Similarity Degradation
by: Zu, Wenqiang, et al.
Published: (2025)
by: Zu, Wenqiang, et al.
Published: (2025)
Boosting Image Restoration via Priors from Pre-trained Models
by: Xu, Xiaogang, et al.
Published: (2024)
by: Xu, Xiaogang, et al.
Published: (2024)
UNIP: Rethinking Pre-trained Attention Patterns for Infrared Semantic Segmentation
by: Zhang, Tao, et al.
Published: (2025)
by: Zhang, Tao, et al.
Published: (2025)
Reversible Inversion for Training-Free Exemplar-guided Image Editing
by: Li, Yuke, et al.
Published: (2025)
by: Li, Yuke, et al.
Published: (2025)
Towards Efficient Exemplar Based Image Editing with Multimodal VLMs
by: Jadhav, Avadhoot, et al.
Published: (2025)
by: Jadhav, Avadhoot, et al.
Published: (2025)
OmnimatteZero: Fast Training-free Omnimatte with Pre-trained Video Diffusion Models
by: Samuel, Dvir, et al.
Published: (2025)
by: Samuel, Dvir, et al.
Published: (2025)
Exploring Pre-trained Text-to-Video Diffusion Models for Referring Video Object Segmentation
by: Zhu, Zixin, et al.
Published: (2024)
by: Zhu, Zixin, et al.
Published: (2024)
PreGSU-A Generalized Traffic Scene Understanding Model for Autonomous Driving based on Pre-trained Graph Attention Network
by: Wang, Yuning, et al.
Published: (2024)
by: Wang, Yuning, et al.
Published: (2024)
Unleashing the Power of Pre-trained Encoders for Universal Adversarial Attack Detection
by: Zhang, Yinghe, et al.
Published: (2025)
by: Zhang, Yinghe, et al.
Published: (2025)
Towards Data-Efficient Video Pre-training with Frozen Image Foundation Models
by: Orlova, Svetlana, et al.
Published: (2026)
by: Orlova, Svetlana, et al.
Published: (2026)
Similar Items
-
Prompt-Guided Image-Adaptive Neural Implicit Lookup Tables for Interpretable Image Enhancement
by: Kosugi, Satoshi
Published: (2024) -
AttentionDrag: Exploiting Latent Correlation Knowledge in Pre-trained Diffusion Models for Image Editing
by: Yang, Biao, et al.
Published: (2025) -
ReEdit: Multimodal Exemplar-Based Image Editing with Diffusion Models
by: Srivastava, Ashutosh, et al.
Published: (2024) -
IRBridge: Solving Image Restoration Bridge with Pre-trained Generative Diffusion Models
by: Wang, Hanting, et al.
Published: (2025) -
EBDM: Exemplar-guided Image Translation with Brownian-bridge Diffusion Models
by: Lee, Eungbean, et al.
Published: (2024)