{"total":24,"rows":[{"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":"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":"2406.16864","title":"StableNormal: Reducing Diffusion Variance for Stable and Sharp Normal","created":"2024-06-24","cited_by_count":154,"area":"diffusion"},{"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":"2412.13389","title":"Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion","created":"2024-12-18","cited_by_count":50,"area":"diffusion"},{"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":"2504.11427","title":"NormalCrafter: Learning Temporally Consistent Normals from Video Diffusion Priors","created":"2025-04-15","cited_by_count":25,"area":"diffusion"},{"id":"2509.04338","title":"From Editor to Dense Geometry Estimator","created":"2025-09-04","cited_by_count":24,"area":"diffusion"},{"id":"2411.18229","title":"SharpDepth: Sharpening Metric Depth Predictions Using Diffusion Distillation","created":"2024-11-27","cited_by_count":21,"area":"diffusion"},{"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":"2607.02515","title":"PointDiT: Pixel-Space Diffusion for Monocular Geometry Estimation","created":"2026-07-02","cited_by_count":7,"area":"diffusion"},{"id":"2412.20506","title":"DPBridge: Latent Diffusion Bridge for Dense Prediction","created":"2024-12-29","cited_by_count":6,"area":"diffusion"},{"id":"2412.00671","title":"FiffDepth: Feed-forward Transformation of Diffusion-Based Generators for Detailed Depth Estimation","created":"2024-12-01","cited_by_count":5,"area":"diffusion"},{"id":"2511.18673","title":"Edit2Perceive: Image Editing Diffusion Models Are Strong Dense Perceivers","created":"2025-11-24","cited_by_count":5,"area":"diffusion"},{"id":"2409.15010","title":"DepthART: Monocular Depth Estimation as Autoregressive Refinement Task","created":"2024-09-23","cited_by_count":4,"area":"diffusion"},{"id":"2510.23574","title":"More Than Generation: Unifying Generation and Depth Estimation via Text-to-Image Diffusion Models","created":"2025-10-27","cited_by_count":2,"area":"diffusion"},{"id":"2608.28549","title":"Video Generative Models as Geometry Learner","created":"2026-08-28","cited_by_count":1,"area":"diffusion"},{"id":"2609.08084","title":"Marigold V2: Revisiting Diffusion Transformers for Monocular Depth Estimation","created":"2026-09-08","cited_by_count":1,"area":"diffusion"},{"id":"2512.07062","title":"$\\mathrm{D}^\\mathrm{3}$-Predictor: Noise-Free Deterministic Diffusion for Dense Prediction","created":"2025-12-08","cited_by_count":0,"area":"diffusion"},{"id":"2603.10584","title":"Need for Speed: Zero-Shot Depth Completion with Single-Step Diffusion","created":"2026-03-11","cited_by_count":0,"area":"diffusion"},{"id":"2606.30370","title":"MUSE: Unlocking Timestep as Native Task Steering for One-Step Dense Prediction","created":"2026-06-29","cited_by_count":0,"area":"diffusion"},{"id":"2609.06665","title":"TransNormal-2: Geometry-Grounded Rectified Flow with Edge-Aware Decoding for Precise Normal Estimation","created":"2026-09-06","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}