"Zero-Shot" Super-Resolution using Deep Internal Learning

17 December 2017

Papers citing ""Zero-Shot" Super-Resolution using Deep Internal Learning"

50 / 231 papers shown

Title
Unsupervised Image Super-Resolution Reconstruction Based on Real-World Degradation Patterns Yiyang Tie Hong Zhu Yunyun Luo Jing Shi 17 0 0 20 Jun 2025
Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Weilei Wen Chunle Guo Wenqi Ren Hongpeng Wang Xiuli Shao SupR 22 0 0 09 Jun 2025
A Lightweight Image Super-Resolution Transformer Trained on Low-Resolution Images Only Björn Möller Lucas Görnhardt Tim Fingscheidt ViT 113 0 0 30 Mar 2025
Learning Image Fractals Using Chaotic Differentiable Point Splatting Adarsh Djeacoumar Felix Mujkanovic Hans-Peter Seidel Thomas Leimkuhler 90 1 0 24 Feb 2025
Denoising as Adaptation: Noise-Space Domain Adaptation for Image Restoration Kang Liao Zongsheng Yue Zhouxia Wang Chen Change Loy 194 4 0 20 Feb 2025
Event Stream-based Visual Object Tracking: HDETrack V2 and A High-Definition Benchmark Shiao Wang Xinyu Wang Chao wang Liye Jin Lin Zhu Bo Jiang Yonghong Tian Jin Tang 130 0 0 08 Feb 2025
Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement Shengyu Chen P. Givi Can Zheng X. Jia AI4CE 113 0 0 31 Dec 2024
Multi-Parameter Molecular MRI Quantification using Physics-Informed Self-Supervised Learning Alex Finkelstein Nikita Vladimirov Moritz Zaiss O. Perlman 119 2 0 10 Nov 2024
IT $^3$ : Idempotent Test-Time Training Nikita Durasov Assaf Shocher Doruk Öner Gal Chechik Alexei A. Efros Pascal Fua OOD VLM 121 1 0 05 Oct 2024
Image Super-Resolution with Taylor Expansion Approximation and Large Field Reception Jia Feng Yuan Wang Dianbo Sui Fengchuang Xing SupR 82 0 0 01 Aug 2024
Learning to (Learn at Test Time): RNNs with Expressive Hidden States Yu Sun Xinhao Li Karan Dalal Jiarui Xu Arjun Vikram ... Xinlei Chen Xiaolong Wang Sanmi Koyejo Tatsunori Hashimoto Carlos Guestrin 145 113 0 05 Jul 2024
Towards Practical Single-shot Motion Synthesis Konstantinos Roditakis Spyridon Thermos N. Zioulis VGen 119 0 0 03 Jun 2024
Deep learning-based blind image super-resolution with iterative kernel reconstruction and noise estimation H. Ateş S. Yildirim B. Gunturk SupR 84 18 0 25 Apr 2024
ZS-SRT: An Efficient Zero-Shot Super-Resolution Training Method for Neural Radiance Fields Xiang Feng Yongbo He Yubo Wang Chengkai Wang Zhenzhong Kuang Jiajun Ding Feiwei Qin Jun Yu Jianping Fan 77 7 0 19 Dec 2023
Deep Internal Learning: Deep Learning from a Single Input Tom Tirer Raja Giryes Se Young Chun Yonina C. Eldar 94 5 0 12 Dec 2023
Test-Time Degradation Adaptation for Open-Set Image Restoration Yuanbiao Gou Haiyu Zhao Boyun Li Xinyan Xiao Xi Peng VLM 97 10 0 02 Dec 2023
Simultaneous temperature estimation and nonuniformity correction from multiple frames N. Oz O. Berman N. Sochen David Mendelovich I. Klapp 67 1 0 23 Jul 2023
Test-Time Training on Video Streams Renhao Wang Yu Sun Yossi Gandelsman Xinlei Chen Alexei A. Efros Alexei A. Efros Xiaolong Wang TTA ViT 3DGS 157 21 0 11 Jul 2023
CuNeRF: Cube-Based Neural Radiance Field for Zero-Shot Medical Image Arbitrary-Scale Super Resolution Zixuan Chen Jianhuang Lai Lingxiao Yang Xiaohua Xie MedIm 83 32 0 28 Mar 2023
A residual dense vision transformer for medical image super-resolution with segmentation-based perceptual loss fine-tuning Jin Zhu Guang Yang Pietro Lio ViT MedIm 96 6 0 22 Feb 2023
Algorithmic Hallucinations of Near-Surface Winds: Statistical Downscaling with Generative Adversarial Networks to Convection-Permitting Scales Nicolaas J. Annau Alex J. Cannon A. Monahan 78 16 0 17 Feb 2023
Denoising Diffusion Probabilistic Models for Robust Image Super-Resolution in the Wild Hshmat Sahak Daniel Watson Chitwan Saharia David Fleet DiffM 84 53 0 15 Feb 2023
Meta-Learned Kernel For Blind Super-Resolution Kernel Estimation Royson Lee Rui Li Stylianos I. Venieris Timothy M. Hospedales Ferenc Huszár Nicholas D. Lane SupR 44 5 0 15 Dec 2022
DCS-RISR: Dynamic Channel Splitting for Efficient Real-world Image Super-Resolution Junbo Qiao Shaohui Lin Yunlu Zhang Wei Li Hu Jie Gaoqi He Changbo Wang Zhuang Ma 77 3 0 15 Dec 2022
ADIR: Adaptive Diffusion for Image Reconstruction Shady Abu Hussein Tom Tirer Raja Giryes DiffM 62 20 0 06 Dec 2022
Bridging Component Learning with Degradation Modelling for Blind Image Super-Resolution Yixuan Wu Feng Li H. Bai Weisi Lin Runmin Cong Yao-Min Zhao SupR 83 20 0 03 Dec 2022
Learning Detail-Structure Alternative Optimization for Blind Super-Resolution Feng Li Yixuan Wu H. Bai Weisi Lin Runmin Cong Yao-Min Zhao SupR 63 42 0 03 Dec 2022
Knowledge Distillation based Degradation Estimation for Blind Super-Resolution Bin Xia Yulun Zhang Yitong Wang Yapeng Tian Wenming Yang Radu Timofte Luc Van Gool 94 32 0 30 Nov 2022
FLEX: Full-Body Grasping Without Full-Body Grasps Purva Tendulkar Dídac Surís Carl Vondrick 107 42 0 21 Nov 2022
Real-World Image Super Resolution via Unsupervised Bi-directional Cycle Domain Transfer Learning based Generative Adversarial Network Xiang Wang Yimin Yang Zhichang Guo Zhili Zhou Yu Liu Qixiang Pang Shan Du SupR 51 1 0 19 Nov 2022
The Best of Both Worlds: a Framework for Combining Degradation Prediction with High Performance Super-Resolution Networks Matthew Aquilina Keith George Ciantar Christian Galea K. Camilleri R. Farrugia J. Abela 85 0 0 09 Nov 2022
ScoreMix: A Scalable Augmentation Strategy for Training GANs with Limited Data Jie Cao Mandi Luo Junchi Yu Mingmin Yang Ran He 89 4 0 27 Oct 2022
How Real is Real: Evaluating the Robustness of Real-World Super Resolution Athiya Deviyani Efe Sinan Hoplamaz Alan Savio Paul SupR 45 0 0 22 Oct 2022
DiffGAR: Model-Agnostic Restoration from Generative Artifacts Using Image-to-Image Diffusion Models Yueqin Yin Lianghua Huang Yu Liu Kaiqiang Huang DiffM 76 12 0 16 Oct 2022
DA-VSR: Domain Adaptable Volumetric Super-Resolution For Medical Images Cheng-Fang Peng S. Kevin Zhou Ramalingam Chellappa OOD 114 8 0 11 Oct 2022
From Face to Natural Image: Learning Real Degradation for Blind Image Super-Resolution Xiaoming Li Chaofeng Chen Xianhui Lin W. Zuo Lei Zhang OOD 136 18 0 03 Oct 2022
GeONet: a neural operator for learning the Wasserstein geodesic Andrew Gracyk Xiaohui Chen OT 87 2 0 28 Sep 2022
KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution J. Fu Hong Wang Qi Xie Qian Zhao Deyu Meng Zongben Xu SupR 286 26 0 21 Sep 2022
MMSR: Multiple-Model Learned Image Super-Resolution Benefiting From Class-Specific Image Priors Cansu Korkmaz A. Murat Tekalp Zafer Doğan 30 1 0 18 Sep 2022
Test-Time Training with Masked Autoencoders Yossi Gandelsman Yu Sun Xinlei Chen Alexei A. Efros OOD 111 178 0 15 Sep 2022
Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models Manli Shu Weili Nie De-An Huang Zhiding Yu Tom Goldstein Anima Anandkumar Chaowei Xiao VLM VPVLM 277 309 0 15 Sep 2022
DSR: Towards Drone Image Super-Resolution Xiaoyu Lin Baran Ozaydin Vidit Vidit Majed El Helou Sabine Süsstrunk SupR 70 1 0 25 Aug 2022
Towards Robust Drone Vision in the Wild Xiaoyu Lin SupR 53 0 0 21 Aug 2022
Meta-Interpolation: Time-Arbitrary Frame Interpolation via Dual Meta-Learning Shixing Yu Yi Ma Wenhan Yang Wei Xiang Jiaying Liu 3DH 137 0 0 27 Jul 2022
Criteria Comparative Learning for Real-scene Image Super-Resolution Yukai Shi Hao Li Senyang Zhang Zhi Yang Xiao Wang SupR 78 14 0 26 Jul 2022
InfiniteNature-Zero: Learning Perpetual View Generation of Natural Scenes from Single Images Zhengqi Li Qianqian Wang Noah Snavely Angjoo Kanazawa VGen 107 63 0 22 Jul 2022
Deep Semantic Statistics Matching (D2SM) Denoising Network Kangfu Mei Vishal M. Patel Rui Huang DiffM 66 8 0 19 Jul 2022
Towards Lightweight Super-Resolution with Dual Regression Learning Yong Guo Mingkui Tan Zeshuai Deng Jingdong Wang Qi Chen Jingyun Liang Yanwu Xu Jian Chen SupR 117 11 0 16 Jul 2022
Variational Deep Image Restoration Jae Woong Soh N. Cho SupR 103 42 0 03 Jul 2022
Degradation-Guided Meta-Restoration Network for Blind Super-Resolution Fuzhi Yang Huan Yang Yanhong Zeng Jianlong Fu Hongtao Lu 80 10 0 03 Jul 2022