{"list":"other","total":54,"rows":[{"id":"2103.00020","title":"Learning Transferable Visual Models From Natural Language Supervision","created":"2021-02-26","cited_by_count":33744},{"id":"2006.11239","title":"Denoising Diffusion Probabilistic Models","created":"2020-06-19","cited_by_count":21076},{"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":"2010.02502","title":"Denoising Diffusion Implicit Models","created":"2020-10-06","cited_by_count":9781},{"id":"1503.03585","title":"Deep Unsupervised Learning using Nonequilibrium Thermodynamics","created":"2015-03-12","cited_by_count":7058},{"id":"2301.12597","title":"BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models","created":"2023-01-30","cited_by_count":6137},{"id":"2307.01952","title":"SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis","created":"2023-07-04","cited_by_count":4356},{"id":"2208.01626","title":"Prompt-to-Prompt Image Editing with Cross Attention Control","created":"2022-08-02","cited_by_count":2431},{"id":"1609.04802","title":"Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network","created":"2016-09-15","cited_by_count":1908},{"id":"2103.13413","title":"Vision Transformers for Dense Prediction","created":"2021-03-24","cited_by_count":1803},{"id":"2201.09865","title":"RePaint: Inpainting using Denoising Diffusion Probabilistic Models","created":"2022-01-24","cited_by_count":1430},{"id":"1812.08008","title":"OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields","created":"2018-12-18","cited_by_count":1162},{"id":"2210.09461","title":"Token Merging: Your ViT But Faster","created":"2022-10-17","cited_by_count":1021},{"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":"2304.08465","title":"MasaCtrl: Tuning-Free Mutual Self-Attention Control for Consistent Image Synthesis and Editing","created":"2023-04-17","cited_by_count":727},{"id":"2103.14006","title":"Designing a Practical Degradation Model for Deep Blind Image Super-Resolution","created":"2021-03-25","cited_by_count":529},{"id":"2403.04692","title":"PixArt-\\Sigma: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation","created":"2024-03-07","cited_by_count":329},{"id":"2212.05034","title":"SmartBrush: Text and Shape Guided Object Inpainting with Diffusion Model","created":"2022-12-09","cited_by_count":278},{"id":"2411.15738","title":"AnyEdit: Mastering Unified High-Quality Image Editing for Any Idea","created":"2024-11-24","cited_by_count":241},{"id":"2103.10428","title":"Large Scale Image Completion via Co-Modulated Generative Adversarial Networks","created":"2021-03-18","cited_by_count":220},{"id":"2309.11497","title":"FreeU: Free Lunch in Diffusion U-Net","created":"2023-09-20","cited_by_count":196},{"id":"2310.07702","title":"ScaleCrafter: Tuning-free Higher-Resolution Visual Generation with Diffusion Models","created":"2023-10-11","cited_by_count":128},{"id":"2005.09704","title":"Contextual Residual Aggregation for Ultra High-Resolution Image Inpainting","created":"2020-05-19","cited_by_count":124},{"id":"2306.05178","title":"SyncDiffusion: Coherent Montage via Synchronized Joint Diffusions","created":"2023-06-08","cited_by_count":110},{"id":"2311.16973","title":"DemoFusion: Democratising High-Resolution Image Generation With No $$$","created":"2023-11-24","cited_by_count":107},{"id":"2104.01431","title":"Aggregated Contextual Transformations for High-Resolution Image Inpainting","created":"2021-04-03","cited_by_count":89},{"id":"2312.14091","title":"HD-Painter: High-Resolution and Prompt-Faithful Text-Guided Image Inpainting with Diffusion Models","created":"2023-12-21","cited_by_count":67},{"id":"2503.18352","title":"Diffusion-4K: Ultra-High-Resolution Image Synthesis with Latent Diffusion Models","created":"2025-03-24","cited_by_count":65},{"id":"2204.05041","title":"Pyramid Grafting Network for One-Stage High Resolution Saliency Detection","created":"2022-04-11","cited_by_count":63},{"id":"2310.07222","title":"Uni-paint: A Unified Framework for Multimodal Image Inpainting with Pretrained Diffusion Model","created":"2023-10-11","cited_by_count":60},{"id":"2403.12963","title":"FouriScale: A Frequency Perspective on Training-Free High-Resolution Image Synthesis","created":"2024-03-19","cited_by_count":59},{"id":"2402.10491","title":"Make a Cheap Scaling: A Self-Cascade Diffusion Model for Higher-Resolution Adaptation","created":"2024-02-16","cited_by_count":51},{"id":"2303.08524","title":"CoordFill: Efficient High-Resolution Image Inpainting via Parameterized Coordinate Querying","created":"2023-03-15","cited_by_count":34},{"id":"2406.18459","title":"DiffuseHigh: Training-free Progressive High-Resolution Image Synthesis through Structure Guidance","created":"2024-06-26","cited_by_count":34},{"id":"2407.10738","title":"AccDiffusion: An Accurate Method for Higher-Resolution Image Generation","created":"2024-07-15","cited_by_count":33},{"id":"2311.17528","title":"HiDiffusion: Unlocking Higher-Resolution Creativity and Efficiency in Pretrained Diffusion Models","created":"2023-11-29","cited_by_count":29},{"id":"2408.11001","title":"MegaFusion: Extend Diffusion Models towards Higher-resolution Image Generation without Further Tuning","created":"2024-08-20","cited_by_count":25},{"id":"2403.02084","title":"ResAdapter: Domain Consistent Resolution Adapter for Diffusion Models","created":"2024-03-04","cited_by_count":23},{"id":"2410.07536","title":"I-Max: Maximize the Resolution Potential of Pre-trained Rectified Flow Transformers with Projected Flow","created":"2024-10-10","cited_by_count":23},{"id":"2406.16476","title":"ResMaster: Mastering High-Resolution Image Generation via Structural and Fine-Grained Guidance","created":"2024-06-24","cited_by_count":22},{"id":"2404.01709","title":"Upsample Guidance: Scale Up Diffusion Models without Training","created":"2024-04-02","cited_by_count":20},{"id":"2309.09614","title":"Gradpaint: Gradient-Guided Inpainting with Diffusion Models","created":"2023-09-18","cited_by_count":17},{"id":"2312.02149","title":"Generative Powers of Ten","created":"2023-12-04","cited_by_count":15},{"id":"2409.02919","title":"HiPrompt: Tuning-free Higher-Resolution Generation with Hierarchical MLLM Prompts","created":"2024-09-04","cited_by_count":15},{"id":"2402.13573","title":"ToDo: Token Downsampling for Efficient Generation of High-Resolution Images","created":"2024-02-21","cited_by_count":14},{"id":"2405.04312","title":"Inf-DiT: Upsampling Any-Resolution Image with Memory-Efficient Diffusion Transformer","created":"2024-05-07","cited_by_count":14},{"id":"2406.07251","title":"Is One GPU Enough? Pushing Image Generation at Higher-Resolutions with Foundation Models","created":"2024-06-11","cited_by_count":14},{"id":"2503.16322","title":"Ultra-Resolution Adaptation with Ease","created":"2025-03-20","cited_by_count":13},{"id":"2404.18598","title":"Anywhere: A Multi-Agent Framework for User-Guided, Reliable, and Diverse Foreground-Conditioned Image Generation","created":"2024-04-29","cited_by_count":6},{"id":"2412.19009","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","created":"2024-12-26","cited_by_count":6},{"id":"2202.06358","title":"Do Inpainting Yourself: Generative Facial Inpainting Guided by Exemplars","created":"2022-02-13","cited_by_count":4},{"id":"2304.12035","title":"GRIG: Few-Shot Generative Residual Image Inpainting","created":"2023-04-24","cited_by_count":4},{"id":"2406.00210","title":"A-SDM: Accelerating Stable Diffusion through Model Assembly and Feature Inheritance Strategies","created":"2024-05-31","cited_by_count":3}],"next_cursor":null}