{"total":27,"rows":[{"id":"2312.02145","title":"Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation","created":"2023-12-04","cited_by_count":327,"area":"diffusion"},{"id":"2211.16431","title":"NeuralLift-360: Lifting An In-the-wild 2D Photo to A 3D Object with 360{\\deg} Views","created":"2022-11-29","cited_by_count":148,"area":"diffusion"},{"id":"2305.15581","title":"Unsupervised Semantic Correspondence Using Stable Diffusion","created":"2023-05-24","cited_by_count":120,"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":"2403.10615","title":"LightIt: Illumination Modeling and Control for Diffusion Models","created":"2024-03-15","cited_by_count":57,"area":"diffusion"},{"id":"2404.11613","title":"InFusion: Inpainting 3D Gaussians via Learning Depth Completion from Diffusion Prior","created":"2024-04-17","cited_by_count":56,"area":"diffusion"},{"id":"2510.07316","title":"Pixel-Perfect Depth with Semantics-Prompted Diffusion Transformers","created":"2025-10-08","cited_by_count":51,"area":"diffusion"},{"id":"2305.11577","title":"LeftRefill: Filling Right Canvas based on Left Reference through Generalized Text-to-Image Diffusion Model","created":"2023-05-19","cited_by_count":25,"area":"diffusion"},{"id":"2310.06347","title":"JointNet: Extending Text-to-Image Diffusion for Dense Distribution Modeling","created":"2023-10-10","cited_by_count":23,"area":"diffusion"},{"id":"2305.19094","title":"Diffusion Model for Dense Matching","created":"2023-05-30","cited_by_count":21,"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":"2312.04831","title":"Towards Enhanced Image Inpainting: Mitigating Unwanted Object Insertion and Preserving Color Consistency","created":"2023-12-08","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":"2501.13087","title":"Orchid: Image Latent Diffusion for Joint Appearance and Geometry Generation","created":"2025-01-22","cited_by_count":17,"area":"diffusion"},{"id":"2505.05473","title":"DiffusionSfM: Predicting Structure and Motion via Ray Origin and Endpoint Diffusion","created":"2025-05-08","cited_by_count":14,"area":"diffusion"},{"id":"2304.01900","title":"PODIA-3D: Domain Adaptation of 3D Generative Model Across Large Domain Gap Using Pose-Preserved Text-to-Image Diffusion","created":"2023-04-04","cited_by_count":12,"area":"diffusion"},{"id":"2501.02355","title":"CorrFill: Enhancing Faithfulness in Reference-based Inpainting with Correspondence Guidance in Diffusion Models","created":"2025-01-04","cited_by_count":8,"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":"2605.12587","title":"TrackCraft3R: Repurposing Video Diffusion Transformers for Dense 3D Tracking","created":"2026-05-12","cited_by_count":5,"area":"diffusion"},{"id":"2606.13652","title":"World Tracing: Generative Pixel-Aligned Geometry Beyond the Visible","created":"2026-06-11","cited_by_count":5,"area":"diffusion"},{"id":"2604.11331","title":"Any 3D Scene is Worth 1K Tokens: 3D-Grounded Representation for Scene Generation at Scale","created":"2026-04-13","cited_by_count":3,"area":"diffusion"},{"id":"2608.16793","title":"PixRestore: Unified Image Restoration via Pixel Diffusion Transformer","created":"2026-08-17","cited_by_count":2,"area":"diffusion"},{"id":"2603.16340","title":"Iris: Bringing Real-World Priors into Diffusion Model for Monocular Depth Estimation","created":"2026-03-17","cited_by_count":1,"area":"diffusion"},{"id":"2608.28549","title":"Video Generative Models as Geometry Learner","created":"2026-08-28","cited_by_count":1,"area":"diffusion"},{"id":"2504.00191","title":"Leveraging Diffusion Model and Image Foundation Model for Improved Correspondence Matching in Coronary Angiography","created":"2025-03-31","cited_by_count":0,"area":"diffusion"},{"id":"2608.18388","title":"Depth Anything V4: Dynamic 4D Scene Reconstruction via Riemannian Flow Matching on 4D Gaussian Splatting","created":"2026-08-18","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}