{"total":31,"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":"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":"2502.17157","title":"DICEPTION: A Generalist Diffusion Model for Visual Perceptual Tasks","created":"2025-02-24","cited_by_count":39,"area":"diffusion"},{"id":"2502.20732","title":"CADDreamer: CAD Object Generation from Single-view Images","created":"2025-02-28","cited_by_count":25,"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":"2411.11505","title":"LaVin-DiT: Large Vision Diffusion Transformer","created":"2024-11-18","cited_by_count":21,"area":"diffusion"},{"id":"2412.09593","title":"Neural LightRig: Unlocking Accurate Object Normal and Material Estimation with Multi-Light Diffusion","created":"2024-12-12","cited_by_count":19,"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":"2412.00397","title":"DreamDance: Animating Human Images by Enriching 3D Geometry Cues from 2D Poses","created":"2024-11-30","cited_by_count":17,"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":"2507.03924","title":"DNF-Intrinsic: Deterministic Noise-Free Diffusion for Indoor Inverse Rendering","created":"2025-07-05","cited_by_count":11,"area":"diffusion"},{"id":"2505.24521","title":"UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation","created":"2025-05-30","cited_by_count":9,"area":"diffusion"},{"id":"2403.11111","title":"Diffusion Models are Efficient Data Generators for Human Mesh Recovery","created":"2024-03-17","cited_by_count":8,"area":"diffusion"},{"id":"2412.20506","title":"DPBridge: Latent Diffusion Bridge for Dense Prediction","created":"2024-12-29","cited_by_count":6,"area":"diffusion"},{"id":"2511.21129","title":"CtrlVDiff: Controllable Video Generation via Unified Multimodal Video Diffusion","created":"2025-11-26","cited_by_count":6,"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":"2601.22135","title":"PI-Light: Physics-Inspired Diffusion for Full-Image Relighting","created":"2026-01-29","cited_by_count":5,"area":"diffusion"},{"id":"2605.00658","title":"UniVidX: A Unified Multimodal Framework for Versatile Video Generation via Diffusion Priors","created":"2026-05-01","cited_by_count":3,"area":"diffusion"},{"id":"2506.08013","title":"StableMTL: Repurposing Latent Diffusion Models for Multi-Task Learning from Partially Annotated Synthetic Datasets","created":"2025-06-09","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":"2505.20958","title":"OrienText: Surface Oriented Textual Image Generation","created":"2025-05-27","cited_by_count":0,"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":"2606.30332","title":"UniGP: Taming Diffusion Transformer for Prior-Preserved Unified Generation and Perception","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"},{"id":"2610.02567","title":"DAGS: Disentangled Appearance-and-Geometry Steering of a Frozen Image DiT for Temporally Stabilized Generative Rendering","created":"2026-10-01","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}