Copertina

EAM: Enhancing Anything with Diffusion Transformers for Blind Super-Resolution

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Xie, Haizhen, Du, Kunpeng, Yan, Qiangyu, Lu, Sen, Han, Jianhong, Chen, Hanting, Hu, Hailin, Hu, Jie
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

OS-DiffVSR: Towards One-step Latent Diffusion Model for High-detailed Real-world Video Super-Resolution
di: Li, Hanting, et al.
Pubblicazione: (2025)

ElasticDiT: Efficient Diffusion Transformers via Elastic Architecture and Sparse Attention for High-Resolution Image Generation on Mobile Devices
di: Du, Kunpeng, et al.
Pubblicazione: (2026)

LIPT: Latency-aware Image Processing Transformer
di: Qiao, Junbo, et al.
Pubblicazione: (2024)

IPT-V2: Efficient Image Processing Transformer using Hierarchical Attentions
di: Tu, Zhijun, et al.
Pubblicazione: (2024)

GIM: A Million-scale Benchmark for Generative Image Manipulation Detection and Localization
di: Chen, Yirui, et al.
Pubblicazione: (2024)

Taming Stable Diffusion for Computed Tomography Blind Super-Resolution
di: Li, Chunlei, et al.
Pubblicazione: (2025)

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

Omni-Dimensional Frequency Learner for General Time Series Analysis
di: Chen, Xianing, et al.
Pubblicazione: (2024)

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

DSPO: Direct Semantic Preference Optimization for Real-World Image Super-Resolution
di: Cai, Miaomiao, et al.
Pubblicazione: (2025)

Instruct-IPT: All-in-One Image Processing Transformer via Weight Modulation
di: Tian, Yuchuan, et al.
Pubblicazione: (2024)

Beyond Textual CoT: Interleaved Text-Image Chains with Deep Confidence Reasoning for Image Editing
di: Zou, Zhentao, et al.
Pubblicazione: (2025)

Knowledge Distillation with Multi-granularity Mixture of Priors for Image Super-Resolution
di: Li, Simiao, et al.
Pubblicazione: (2024)

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

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

U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers
di: Tian, Yuchuan, et al.
Pubblicazione: (2024)

BlindDiff: Empowering Degradation Modelling in Diffusion Models for Blind Image Super-Resolution
di: Li, Feng, et al.
Pubblicazione: (2024)

Data Upcycling Knowledge Distillation for Image Super-Resolution
di: Zhang, Yun, et al.
Pubblicazione: (2023)

InstaVSR: Taming Diffusion for Efficient and Temporally Consistent Video Super-Resolution
di: Hu, Jintong, et al.
Pubblicazione: (2026)

Suppressing Uncertainties in Degradation Estimation for Blind Super-Resolution
di: Lin, Junxiong, et al.
Pubblicazione: (2024)

GenVidBench: A 6-Million Benchmark for AI-Generated Video Detection
di: Ni, Zhenliang, et al.
Pubblicazione: (2025)

Personalize Anything for Free with Diffusion Transformer
di: Feng, Haoran, et al.
Pubblicazione: (2025)

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

Diffusion Transformer meets Multi-level Wavelet Spectrum for Single Image Super-Resolution
di: Du, Peng, et al.
Pubblicazione: (2025)

AddSR: Accelerating Diffusion-based Blind Super-Resolution with Adversarial Diffusion Distillation
di: Xie, Rui, et al.
Pubblicazione: (2024)

KernelFusion: Assumption-Free Blind Super-Resolution via Patch Diffusion
di: Heinimann, Oliver, et al.
Pubblicazione: (2025)

History-Augmented Contrastive Learning With Soft Mixture of Experts for Blind Super-Resolution of Planetary Remote Sensing Images
di: Zhao, Hui-Jia, et al.
Pubblicazione: (2025)

CDFormer:When Degradation Prediction Embraces Diffusion Model for Blind Image Super-Resolution
di: Liu, Qingguo, et al.
Pubblicazione: (2024)

One-Step Diffusion-based Real-World Image Super-Resolution with Visual Perception Distillation
di: Wu, Xue, et al.
Pubblicazione: (2025)

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

Blind Video Super-Resolution based on Implicit Kernels
di: Zhu, Qiang, et al.
Pubblicazione: (2025)

Boosting Diffusion Guidance via Learning Degradation-Aware Models for Blind Super Resolution
di: Lu, Shao-Hao, et al.
Pubblicazione: (2025)

Multimodal Latent Reasoning via Hierarchical Visual Cues Injection
di: Zhang, Yiming, et al.
Pubblicazione: (2026)

DORNet: A Degradation Oriented and Regularized Network for Blind Depth Super-Resolution
di: Wang, Zhengxue, et al.
Pubblicazione: (2024)

Blind Super Resolution with Reference Images and Implicit Degradation Representation
di: Do, Huu-Phu, et al.
Pubblicazione: (2025)

Learning the Degradation Distribution for Blind Image Super-Resolution
di: Luo, Zhengxiong, et al.
Pubblicazione: (2022)

Degradation-Aware and Structure-Preserving Diffusion for Real-World Image Super-Resolution
di: Ji, Yang, et al.
Pubblicazione: (2026)

Disentangled Textual Priors for Diffusion-based Image Super-Resolution
di: Jiang, Lei, et al.
Pubblicazione: (2026)

Preserving Full Degradation Details for Blind Image Super-Resolution
di: Liu, Hongda, et al.
Pubblicazione: (2024)

DreamSR: Towards Ultra-High-Resolution Image Super-Resolution via a Receptive-Field Enhanced Diffusion Transformer
di: Dong, Qingji, et al.
Pubblicazione: (2026)