{"total":240,"rows":[{"id":"2302.05543","title":"Adding Conditional Control to Text-to-Image Diffusion Models","created":"2023-02-10","cited_by_count":5503,"area":"diffusion"},{"id":"2406.09414","title":"Depth Anything V2","created":"2024-06-13","cited_by_count":1422,"area":null},{"id":"2401.10891","title":"Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data","created":"2024-01-19","cited_by_count":1360,"area":null},{"id":"2508.02324","title":"Qwen-Image Technical Report","created":"2025-08-04","cited_by_count":1044,"area":null},{"id":"2511.10647","title":"Depth Anything 3: Recovering the Visual Space from Any Views","created":"2025-11-13","cited_by_count":692,"area":null},{"id":"2302.12288","title":"ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth","created":"2023-02-23","cited_by_count":657,"area":null},{"id":"2404.15506","title":"Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal Estimation","created":"2024-03-22","cited_by_count":395,"area":null},{"id":"2403.18913","title":"UniDepth: Universal Monocular Metric Depth Estimation","created":"2024-03-27","cited_by_count":382,"area":null},{"id":"2307.10984","title":"Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image","created":"2023-07-20","cited_by_count":365,"area":null},{"id":"2312.02145","title":"Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation","created":"2023-12-04","cited_by_count":327,"area":"diffusion"},{"id":"2410.19115","title":"MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision","created":"2024-10-24","cited_by_count":299,"area":null},{"id":"2403.12013","title":"GeoWizard: Unleashing the Diffusion Priors for 3D Geometry Estimation from a Single Image","created":"2024-03-18","cited_by_count":286,"area":"diffusion"},{"id":"2507.02546","title":"MoGe-2: Accurate Monocular Geometry with Metric Scale and Sharp Details","created":"2025-07-03","cited_by_count":261,"area":null},{"id":"2501.12375","title":"Video Depth Anything: Consistent Depth Estimation for Super-Long Videos","created":"2025-01-21","cited_by_count":207,"area":null},{"id":"2309.16948","title":"Denoising Diffusion Bridge Models","created":"2023-09-29","cited_by_count":178,"area":"diffusion"},{"id":"2409.18124","title":"Lotus: Diffusion-based Visual Foundation Model for High-quality Dense Prediction","created":"2024-09-26","cited_by_count":166,"area":"diffusion"},{"id":"2205.12952","title":"Pretraining is All You Need for Image-to-Image Translation","created":"2022-05-25","cited_by_count":160,"area":"diffusion"},{"id":"2504.00983","title":"WorldScore: A Unified Evaluation Benchmark for World Generation","created":"2025-04-01","cited_by_count":156,"area":null},{"id":"2406.16864","title":"StableNormal: Reducing Diffusion Variance for Stable and Sharp Normal","created":"2024-06-24","cited_by_count":154,"area":"diffusion"},{"id":"2312.06647","title":"4M: Massively Multimodal Masked Modeling","created":"2023-12-11","cited_by_count":120,"area":null},{"id":"2204.02091","title":"P3Depth: Monocular Depth Estimation with a Piecewise Planarity Prior","created":"2022-04-05","cited_by_count":107,"area":null},{"id":"2108.11353","title":"Multi-Task Self-Training for Learning General Representations","created":"2021-08-25","cited_by_count":85,"area":null},{"id":"2409.11355","title":"Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think","created":"2024-09-17","cited_by_count":83,"area":"diffusion"},{"id":"2505.09358","title":"Marigold: Affordable Adaptation of Diffusion-Based Image Generators for Image Analysis","created":"2025-05-14","cited_by_count":78,"area":"diffusion"},{"id":"2403.13788","title":"DepthFM: Fast Monocular Depth Estimation with Flow Matching","created":"2024-03-20","cited_by_count":76,"area":"diffusion"},{"id":"2403.06090","title":"What Matters When Repurposing Diffusion Models for General Dense Perception Tasks?","created":"2024-03-10","cited_by_count":74,"area":"diffusion"},{"id":"2304.06334","title":"iDisc: Internal Discretization for Monocular Depth Estimation","created":"2023-04-13","cited_by_count":73,"area":null},{"id":"2102.00690","title":"Ground-aware Monocular 3D Object Detection for Autonomous Driving","created":"2021-02-01","cited_by_count":65,"area":null},{"id":"2503.16591","title":"UniK3D: Universal Camera Monocular 3D Estimation","created":"2025-03-20","cited_by_count":62,"area":null},{"id":"2406.09750","title":"ControlVAR: Exploring Controllable Visual Autoregressive Modeling","created":"2024-06-14","cited_by_count":58,"area":"diffusion"},{"id":"2403.10615","title":"LightIt: Illumination Modeling and Control for Diffusion Models","created":"2024-03-15","cited_by_count":57,"area":"diffusion"},{"id":"2210.09670","title":"Hierarchical Normalization for Robust Monocular Depth Estimation","created":"2022-10-18","cited_by_count":52,"area":null},{"id":"2406.09406","title":"4M-21: An Any-to-Any Vision Model for Tens of Tasks and Modalities","created":"2024-06-13","cited_by_count":52,"area":null},{"id":"2510.07316","title":"Pixel-Perfect Depth with Semantics-Prompted Diffusion Transformers","created":"2025-10-08","cited_by_count":51,"area":"diffusion"},{"id":"2311.17137","title":"Generative Models: What Do They Know? Do They Know Things? Let's Find Out!","created":"2023-11-28","cited_by_count":50,"area":"diffusion"},{"id":"2405.15885","title":"Diffusion Bridge Implicit Models","created":"2024-05-24","cited_by_count":49,"area":"diffusion"},{"id":"2103.04216","title":"Virtual Normal: Enforcing Geometric Constraints for Accurate and Robust Depth Prediction","created":"2021-03-07","cited_by_count":48,"area":null},{"id":"2403.18807","title":"ECoDepth: Effective Conditioning of Diffusion Models for Monocular Depth Estimation","created":"2024-03-27","cited_by_count":45,"area":"diffusion"},{"id":"2604.20329","title":"Image Generators are Generalist Vision Learners","created":"2026-04-22","cited_by_count":43,"area":null},{"id":"2208.13241","title":"Towards Accurate Reconstruction of 3D Scene Shape from A Single Monocular Image","created":"2022-08-28","cited_by_count":42,"area":null},{"id":"2411.16318","title":"One Diffusion to Generate Them All","created":"2024-11-25","cited_by_count":41,"area":"diffusion"},{"id":"2510.27606","title":"Spatial-SSRL: Enhancing Spatial Understanding via Self-Supervised Reinforcement Learning","created":"2025-10-31","cited_by_count":41,"area":"lr"},{"id":"2502.17157","title":"DICEPTION: A Generalist Diffusion Model for Visual Perceptual Tasks","created":"2025-02-24","cited_by_count":39,"area":"diffusion"},{"id":"2504.01016","title":"GeometryCrafter: Consistent Geometry Estimation for Open-world Videos with Diffusion Priors","created":"2025-04-01","cited_by_count":37,"area":"diffusion"},{"id":"2503.07535","title":"LBM: Latent Bridge Matching for Fast Image-to-Image Translation","created":"2025-03-10","cited_by_count":36,"area":null},{"id":"2505.10565","title":"Depth Anything with Any Prior","created":"2025-05-15","cited_by_count":36,"area":null},{"id":"2204.07286","title":"Guided Co-Modulated GAN for 360{\\deg} Field of View Extrapolation","created":"2022-04-15","cited_by_count":32,"area":null},{"id":"2410.04671","title":"CAR: Controllable Autoregressive Modeling for Visual Generation","created":"2024-10-07","cited_by_count":30,"area":"diffusion"},{"id":"2411.19278","title":"OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration","created":"2024-11-28","cited_by_count":30,"area":null},{"id":"2312.13252","title":"Zero-Shot Metric Depth with a Field-of-View Conditioned Diffusion Model","created":"2023-12-20","cited_by_count":29,"area":"diffusion"},{"id":"2506.02221","title":"Diff2Flow: Training Flow Matching Models via Diffusion Model Alignment","created":"2025-06-02","cited_by_count":29,"area":"diffusion"},{"id":"2312.12471","title":"Atlantis: Enabling Underwater Depth Estimation with Stable Diffusion","created":"2023-12-19","cited_by_count":28,"area":"diffusion"},{"id":"2407.17952","title":"BetterDepth: Plug-and-Play Diffusion Refiner for Zero-Shot Monocular Depth Estimation","created":"2024-07-25","cited_by_count":28,"area":null},{"id":"2601.17895","title":"Masked Depth Modeling for Spatial Perception","created":"2026-01-25","cited_by_count":28,"area":null},{"id":"2412.18153","title":"DepthLab: From Partial to Complete","created":"2024-12-24","cited_by_count":27,"area":null},{"id":"2404.06337","title":"Matching 2D Images in 3D: Metric Relative Pose from Metric Correspondences","created":"2024-04-09","cited_by_count":26,"area":null},{"id":"2412.15213","title":"Flowing from Words to Pixels: A Noise-Free Framework for Cross-Modality Evolution","created":"2024-12-19","cited_by_count":26,"area":"diffusion"},{"id":"2509.04338","title":"From Editor to Dense Geometry Estimator","created":"2025-09-04","cited_by_count":24,"area":"diffusion"},{"id":"2107.14599","title":"SNE-RoadSeg+: Rethinking Depth-Normal Translation and Deep Supervision for Freespace Detection","created":"2021-07-30","cited_by_count":23,"area":null},{"id":"2302.09598","title":"Guided Depth Map Super-resolution: A Survey","created":"2023-02-19","cited_by_count":23,"area":null},{"id":"2410.22637","title":"Consistency Diffusion Bridge Models","created":"2024-10-30","cited_by_count":23,"area":"diffusion"},{"id":"2601.03252","title":"InfiniDepth: Arbitrary-Resolution and Fine-Grained Depth Estimation with Neural Implicit Fields","created":"2026-01-06","cited_by_count":23,"area":null},{"id":"2307.10713","title":"Kick Back & Relax: Learning to Reconstruct the World by Watching SlowTV","created":"2023-07-20","cited_by_count":21,"area":null},{"id":"2411.18229","title":"SharpDepth: Sharpening Metric Depth Predictions Using Diffusion Distillation","created":"2024-11-27","cited_by_count":21,"area":"diffusion"},{"id":"2511.20343","title":"AMB3R: Accurate Feed-forward Metric-scale 3D Reconstruction with Backend","created":"2025-11-25","cited_by_count":20,"area":null},{"id":"2203.08122","title":"From 2D to 3D: Re-thinking Benchmarking of Monocular Depth Prediction","created":"2022-03-15","cited_by_count":19,"area":null},{"id":"2501.02576","title":"DepthMaster: Taming Diffusion Models for Monocular Depth Estimation","created":"2025-01-05","cited_by_count":19,"area":"diffusion"},{"id":"2503.12652","title":"UniVG: A Generalist Diffusion Model for Unified Image Generation and Editing","created":"2025-03-16","cited_by_count":19,"area":"diffusion"},{"id":"2102.06591","title":"Outdoor inverse rendering from a single image using multiview self-supervision","created":"2021-02-12","cited_by_count":18,"area":null},{"id":"2507.19946","title":"SCALAR: Scale-wise Controllable Visual Autoregressive Learning","created":"2025-07-26","cited_by_count":18,"area":null},{"id":"2512.01030","title":"Lotus-2: Advancing Geometric Dense Prediction with Powerful Image Generative Model","created":"2025-11-30","cited_by_count":18,"area":"diffusion"},{"id":"2501.13087","title":"Orchid: Image Latent Diffusion for Joint Appearance and Geometry Generation","created":"2025-01-22","cited_by_count":17,"area":"diffusion"},{"id":"2306.15662","title":"Measured Albedo in the Wild: Filling the Gap in Intrinsics Evaluation","created":"2023-06-27","cited_by_count":16,"area":null},{"id":"2312.00944","title":"Enhancing Diffusion Models with 3D Perspective Geometry Constraints","created":"2023-12-01","cited_by_count":16,"area":"diffusion"},{"id":"2202.08010","title":"360 Depth Estimation in the Wild -- The Depth360 Dataset and the SegFuse Network","created":"2022-02-16","cited_by_count":15,"area":null},{"id":"2407.08187","title":"ScaleDepth: Decomposing Metric Depth Estimation into Scale Prediction and Relative Depth Estimation","created":"2024-07-11","cited_by_count":15,"area":null},{"id":"2502.19204","title":"Distill Any Depth: Distillation Creates a Stronger Monocular Depth Estimator","created":"2025-02-26","cited_by_count":15,"area":null},{"id":"2502.01362","title":"Inverse Bridge Matching Distillation","created":"2025-02-03","cited_by_count":14,"area":null},{"id":"2310.15422","title":"G2-MonoDepth: A General Framework of Generalized Depth Inference from Monocular RGB+X Data","created":"2023-10-24","cited_by_count":13,"area":null},{"id":"2403.14837","title":"Osmosis: RGBD Diffusion Prior for Underwater Image Restoration","created":"2024-03-21","cited_by_count":13,"area":"diffusion"},{"id":"2512.15715","title":"In Pursuit of Pixel Supervision for Visual Pre-training","created":"2025-12-17","cited_by_count":13,"area":null},{"id":"2304.07051","title":"The Second Monocular Depth Estimation Challenge","created":"2023-04-14","cited_by_count":12,"area":null},{"id":"2406.00773","title":"Diffusion Tuning: Transferring Diffusion Models via Chain of Forgetting","created":"2024-06-02","cited_by_count":12,"area":"diffusion"},{"id":"2408.04523","title":"Depth Any Canopy: Leveraging Depth Foundation Models for Canopy Height Estimation","created":"2024-08-08","cited_by_count":12,"area":null},{"id":"2507.01634","title":"Depth Anything at Any Condition","created":"2025-07-02","cited_by_count":12,"area":null},{"id":"2201.05761","title":"A Survey on RGB-D Datasets","created":"2022-01-15","cited_by_count":11,"area":null},{"id":"2202.01470","title":"Towards 3D Scene Reconstruction from Locally Scale-Aligned Monocular Video Depth","created":"2022-02-03","cited_by_count":11,"area":null},{"id":"2505.00482","title":"JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers","created":"2025-05-01","cited_by_count":11,"area":"diffusion"},{"id":"2507.03924","title":"DNF-Intrinsic: Deterministic Noise-Free Diffusion for Indoor Inverse Rendering","created":"2025-07-05","cited_by_count":11,"area":"diffusion"},{"id":"2304.12031","title":"D2NT: A High-Performing Depth-to-Normal Translator","created":"2023-04-24","cited_by_count":10,"area":null},{"id":"2305.01732","title":"High-Resolution Synthetic RGB-D Datasets for Monocular Depth Estimation","created":"2023-05-02","cited_by_count":10,"area":null},{"id":"2404.16831","title":"The Third Monocular Depth Estimation Challenge","created":"2024-04-25","cited_by_count":10,"area":null},{"id":"2601.22054","title":"MetricAnything: Scaling Metric Depth Pretraining with Noisy Heterogeneous Sources","created":"2026-01-29","cited_by_count":10,"area":null},{"id":"2212.05315","title":"Mind The Edge: Refining Depth Edges in Sparsely-Supervised Monocular Depth Estimation","created":"2022-12-10","cited_by_count":8,"area":null},{"id":"2411.17240","title":"Boost 3D Reconstruction using Diffusion-based Monocular Camera Calibration","created":"2024-11-26","cited_by_count":8,"area":"diffusion"},{"id":"2502.09655","title":"Bidirectional Diffusion Bridge Models","created":"2025-02-12","cited_by_count":8,"area":null},{"id":"2503.11633","title":"Seeing and Seeing Through the Glass: Real and Synthetic Data for Multi-Layer Depth Estimation","created":"2025-03-14","cited_by_count":8,"area":null},{"id":"2503.16709","title":"QuartDepth: Post-Training Quantization for Real-Time Depth Estimation on the Edge","created":"2025-03-20","cited_by_count":8,"area":null},{"id":"2504.13226","title":"Image Editing with Diffusion Models: A Survey","created":"2025-04-17","cited_by_count":8,"area":"diffusion"},{"id":"2504.17787","title":"The Fourth Monocular Depth Estimation Challenge","created":"2025-04-24","cited_by_count":8,"area":null}],"next_cursor":"100"}