{"list":"other","total":54,"rows":[{"id":"2112.10752","title":"High-Resolution Image Synthesis with Latent Diffusion Models","created":"2021-12-20","cited_by_count":18863},{"id":"1801.03924","title":"The Unreasonable Effectiveness of Deep Features as a Perceptual Metric","created":"2018-01-11","cited_by_count":11177},{"id":"2304.07193","title":"DINOv2: Learning Robust Visual Features without Supervision","created":"2023-04-14","cited_by_count":7974},{"id":"1812.04948","title":"A Style-Based Generator Architecture for Generative Adversarial Networks","created":"2018-12-12","cited_by_count":6013},{"id":"2302.05543","title":"Adding Conditional Control to Text-to-Image Diffusion Models","created":"2023-02-10","cited_by_count":5503},{"id":"2307.01952","title":"SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis","created":"2023-07-04","cited_by_count":4356},{"id":"1912.04958","title":"Analyzing and Improving the Image Quality of StyleGAN","created":"2019-12-03","cited_by_count":3588},{"id":"2206.00364","title":"Elucidating the Design Space of Diffusion-Based Generative Models","created":"2022-06-01","cited_by_count":3045},{"id":"1710.10196","title":"Progressive Growing of GANs for Improved Quality, Stability, and Variation","created":"2017-10-27","cited_by_count":2988},{"id":"2108.10257","title":"SwinIR: Image Restoration Using Swin Transformer","created":"2021-08-23","cited_by_count":1887},{"id":"2108.05997","title":"MUSIQ: Multi-scale Image Quality Transformer","created":"2021-08-12","cited_by_count":1081},{"id":"2207.12396","title":"Exploring CLIP for Assessing the Look and Feel of Images","created":"2022-07-25","cited_by_count":991},{"id":"2107.10833","title":"Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data","created":"2021-07-22","cited_by_count":970},{"id":"2311.17042","title":"Adversarial Diffusion Distillation","created":"2023-11-28","cited_by_count":759},{"id":"1808.00897","title":"BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation","created":"2018-08-02","cited_by_count":645},{"id":"2204.08958","title":"MANIQA: Multi-dimension Attention Network for No-Reference Image Quality Assessment","created":"2022-04-19","cited_by_count":522},{"id":"2312.17090","title":"Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels","created":"2023-12-28","cited_by_count":503},{"id":"2305.07015","title":"Exploiting Diffusion Prior for Real-World Image Super-Resolution","created":"2023-05-11","cited_by_count":489},{"id":"2204.00964","title":"AdaFace: Quality Adaptive Margin for Face Recognition","created":"2022-04-03","cited_by_count":391},{"id":"2101.04061","title":"Towards Real-World Blind Face Restoration with Generative Facial Prior","created":"2021-01-11","cited_by_count":349},{"id":"2401.13627","title":"Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild","created":"2024-01-24","cited_by_count":286},{"id":"2511.22699","title":"Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer","created":"2025-11-27","cited_by_count":277},{"id":"2406.08177","title":"One-Step Effective Diffusion Network for Real-World Image Super-Resolution","created":"2024-06-12","cited_by_count":246},{"id":"2206.11253","title":"Towards Robust Blind Face Restoration with Codebook Lookup Transformer","created":"2022-06-22","cited_by_count":231},{"id":"2105.06070","title":"GAN Prior Embedded Network for Blind Face Restoration in the Wild","created":"2021-05-13","cited_by_count":197},{"id":"1711.10703","title":"FSRNet: End-to-End Learning Face Super-Resolution with Facial Priors","created":"2017-11-29","cited_by_count":170},{"id":"2012.00739","title":"GLEAN: Generative Latent Bank for Large-Factor Image Super-Resolution","created":"2020-12-01","cited_by_count":158},{"id":"2205.06803","title":"VQFR: Blind Face Restoration with Vector-Quantized Dictionary and Parallel Decoder","created":"2022-05-13","cited_by_count":116},{"id":"2009.08709","title":"Progressive Semantic-Aware Style Transformation for Blind Face Restoration","created":"2020-09-18","cited_by_count":99},{"id":"2212.06512","title":"DifFace: Blind Face Restoration with Diffused Error Contraction","created":"2022-12-13","cited_by_count":97},{"id":"1803.03345","title":"Deep Semantic Face Deblurring","created":"2018-03-09","cited_by_count":80},{"id":"2303.06885","title":"DR2: Diffusion-based Robust Degradation Remover for Blind Face Restoration","created":"2023-03-13","cited_by_count":79},{"id":"1908.08239","title":"Progressive Face Super-Resolution via Attention to Facial Landmark","created":"2019-08-22","cited_by_count":73},{"id":"2309.10810","title":"PGDiff: Guiding Diffusion Models for Versatile Face Restoration via Partial Guidance","created":"2023-09-19","cited_by_count":49},{"id":"2308.07228","title":"RestoreFormer++: Towards Real-World Blind Face Restoration from Undegraded Key-Value Pairs","created":"2023-08-14","cited_by_count":33},{"id":"2411.17163","title":"OSDFace: One-Step Diffusion Model for Face Restoration","created":"2024-11-26","cited_by_count":33},{"id":"2604.03198","title":"The Eleventh NTIRE 2026 Efficient Super-Resolution Challenge Report","created":"2026-04-03","cited_by_count":25},{"id":"2308.07314","title":"Dual Associated Encoder for Face Restoration","created":"2023-08-14","cited_by_count":23},{"id":"2312.15736","title":"Towards Real-World Blind Face Restoration with Generative Diffusion Prior","created":"2023-12-25","cited_by_count":22},{"id":"2403.12760","title":"WaveFace: Authentic Face Restoration with Efficient Frequency Recovery","created":"2024-03-19","cited_by_count":20},{"id":"2305.04517","title":"DiffBFR: Bootstrapping Diffusion Model Towards Blind Face Restoration","created":"2023-05-08","cited_by_count":17},{"id":"2412.05043","title":"ReF-LDM: A Latent Diffusion Model for Reference-based Face Image Restoration","created":"2024-12-06","cited_by_count":16},{"id":"2604.06945","title":"NTIRE 2026 Challenge on Bitstream-Corrupted Video Restoration: Methods and Results","created":"2026-04-08","cited_by_count":16},{"id":"2604.09030","title":"NTIRE 2026 The 3rd Restore Any Image Model (RAIM) Challenge: Multi-Exposure Image Fusion in Dynamic Scenes (Track 2)","created":"2026-04-10","cited_by_count":16},{"id":"2508.08227","title":"OMGSR: You Only Need One Mid-timestep Guidance for Real-World Image Super-Resolution","created":"2025-08-11","cited_by_count":15},{"id":"2604.10321","title":"NTIRE 2026 Challenge on Single Image Reflection Removal in the Wild: Datasets, Results, and Methods","created":"2026-04-11","cited_by_count":15},{"id":"2501.05177","title":"FaceMe: Robust Blind Face Restoration with Personal Identification","created":"2025-01-09","cited_by_count":14},{"id":"2408.03265","title":"BVI-AOM: A New Training Dataset for Deep Video Compression Optimization","created":"2024-08-06","cited_by_count":12},{"id":"2410.04161","title":"Overcoming False Illusions in Real-World Face Restoration with Multi-Modal Guided Diffusion Model","created":"2024-10-05","cited_by_count":12},{"id":"2502.02215","title":"InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration","created":"2025-02-04","cited_by_count":9},{"id":"2510.12114","title":"Self-Supervised Selective-Guided Diffusion Model for Old-Photo Face Restoration","created":"2025-10-14","cited_by_count":8},{"id":"2508.16557","title":"Time-Aware One Step Diffusion Network for Real-World Image Super-Resolution","created":"2025-08-22","cited_by_count":7},{"id":"2402.06106","title":"CLR-Face: Conditional Latent Refinement for Blind Face Restoration Using Score-Based Diffusion Models","created":"2024-02-08","cited_by_count":5},{"id":"2508.08556","title":"Unlocking the Potential of Diffusion Priors in Blind Face Restoration","created":"2025-08-12","cited_by_count":2}],"next_cursor":null}