:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Chen, Bohao, Zhang, Yanchao, Lv, Yanan, Han, Hua, Chen, Xi
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2411.16792
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

GaussianSR: 3D Gaussian Super-Resolution with 2D Diffusion Priors
by: Yu, Xiqian, et al.
Published: (2024)

Bridging Diffusion Models and 3D Representations: A 3D Consistent Super-Resolution Framework
by: Chen, Yi-Ting, et al.
Published: (2025)

R2LDM: An Efficient 4D Radar Super-Resolution Framework Leveraging Diffusion Model
by: Zheng, Boyuan, et al.
Published: (2025)

Binarized Diffusion Model for Image Super-Resolution
by: Chen, Zheng, et al.
Published: (2024)

Image Super-Resolution with Text Prompt Diffusion
by: Chen, Zheng, et al.
Published: (2023)

Improving Consistency in Diffusion Models for Image Super-Resolution
by: Gu, Junhao, et al.
Published: (2024)

Latent Space Super-Resolution for Higher-Resolution Image Generation with Diffusion Models
by: Jeong, Jinho, et al.
Published: (2025)

Rethinking Diffusion Model for Multi-Contrast MRI Super-Resolution
by: Li, Guangyuan, et al.
Published: (2024)

ResDiff: Combining CNN and Diffusion Model for Image Super-Resolution
by: Shang, Shuyao, et al.
Published: (2023)

Noise Controlled CT Super-Resolution with Conditional Diffusion Model
by: Wang, Yuang, et al.
Published: (2025)

Rethinking Diffusion Model-Based Video Super-Resolution: Leveraging Dense Guidance from Aligned Features
by: Xu, Jingyi, et al.
Published: (2025)

CD-TVD: Contrastive Diffusion for 3D Super-Resolution with Scarce High-Resolution Time-Varying Data
by: Bi, Chongke, et al.
Published: (2025)

EAM: Enhancing Anything with Diffusion Transformers for Blind Super-Resolution
by: Xie, Haizhen, et al.
Published: (2025)

Towards Redundancy Reduction in Diffusion Models for Efficient Video Super-Resolution
by: Guo, Jinpei, et al.
Published: (2025)

SRGS: Super-Resolution 3D Gaussian Splatting
by: Feng, Xiang, et al.
Published: (2024)

Improved Adversarial Diffusion Compression for Real-World Video Super-Resolution
by: Chen, Bin, et al.
Published: (2026)

Effective Diffusion Transformer Architecture for Image Super-Resolution
by: Cheng, Kun, et al.
Published: (2024)

License Plate Super-Resolution Using Diffusion Models
by: AlHalawani, Sawsan, et al.
Published: (2023)

PatchScaler: An Efficient Patch-Independent Diffusion Model for Image Super-Resolution
by: Liu, Yong, et al.
Published: (2024)

Diffusion-based Blind Text Image Super-Resolution
by: Zhang, Yuzhe, et al.
Published: (2023)

DOVE: Efficient One-Step Diffusion Model for Real-World Video Super-Resolution
by: Chen, Zheng, et al.
Published: (2025)

Hi3D: Pursuing High-Resolution Image-to-3D Generation with Video Diffusion Models
by: Yang, Haibo, et al.
Published: (2024)

Adversarial Diffusion Compression for Real-World Image Super-Resolution
by: Chen, Bin, et al.
Published: (2024)

BiMaCoSR: Binary One-Step Diffusion Model Leveraging Flexible Matrix Compression for Real Super-Resolution
by: Liu, Kai, et al.
Published: (2025)

Exploiting Diffusion Prior for Real-World Image Super-Resolution
by: Wang, Jianyi, et al.
Published: (2023)

TinySR: Pruning Diffusion for Real-World Image Super-Resolution
by: Dong, Linwei, et al.
Published: (2025)

3D Photon Counting CT Image Super-Resolution Using Conditional Diffusion Model
by: Niu, Chuang, et al.
Published: (2024)

Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution
by: Liu, Zihang, et al.
Published: (2025)

Bridging Fidelity-Reality with Controllable One-Step Diffusion for Image Super-Resolution
by: Chen, Hao, et al.
Published: (2025)

SuperMark: Robust and Training-free Image Watermarking via Diffusion-based Super-Resolution
by: Hu, Runyi, et al.
Published: (2024)

Spectral and Trajectory Regularization for Diffusion Transformer Super-Resolution
by: Wang, Jingkai, et al.
Published: (2026)

ControlSR: Taming Diffusion Models for Consistent Real-World Image Super Resolution
by: Wan, Yuhao, et al.
Published: (2024)

SAM-DiffSR: Structure-Modulated Diffusion Model for Image Super-Resolution
by: Wang, Chengcheng, et al.
Published: (2024)

TASR: Timestep-Aware Diffusion Model for Image Super-Resolution
by: Lin, Qinwei, et al.
Published: (2024)

Burst Super-Resolution with Diffusion Models for Improving Perceptual Quality
by: Tokoro, Kyotaro, et al.
Published: (2024)

Frequency-Domain Refinement with Multiscale Diffusion for Super Resolution
by: Wang, Xingjian, et al.
Published: (2024)

Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation
by: Zhao, Zibo, et al.
Published: (2025)

Leveraging Vision-Language Models to Select Trustworthy Super-Resolution Samples Generated by Diffusion Models
by: Korkmaz, Cansu, et al.
Published: (2025)

One-Step Diffusion Transformer for Controllable Real-World Image Super-Resolution
by: Fang, Yushun, et al.
Published: (2025)

One Step Diffusion-based Super-Resolution with Time-Aware Distillation
by: He, Xiao, et al.
Published: (2024)