{"list":"other","total":52,"rows":[{"id":"1706.03762","title":"Attention Is All You Need","created":"2017-06-12","cited_by_count":60361},{"id":"1412.6980","title":"Adam: A Method for Stochastic Optimization","created":"2014-12-22","cited_by_count":37240},{"id":"2006.11239","title":"Denoising Diffusion Probabilistic Models","created":"2020-06-19","cited_by_count":21076},{"id":"1912.01703","title":"PyTorch: An Imperative Style, High-Performance Deep Learning Library","created":"2019-12-03","cited_by_count":20305},{"id":"1505.04597","title":"U-Net: Convolutional Networks for Biomedical Image Segmentation","created":"2015-05-18","cited_by_count":19713},{"id":"2112.10752","title":"High-Resolution Image Synthesis with Latent Diffusion Models","created":"2021-12-20","cited_by_count":18863},{"id":"2010.02502","title":"Denoising Diffusion Implicit Models","created":"2020-10-06","cited_by_count":9781},{"id":"2011.13456","title":"Score-Based Generative Modeling through Stochastic Differential Equations","created":"2020-11-26","cited_by_count":9122},{"id":"2105.05233","title":"Diffusion Models Beat GANs on Image Synthesis","created":"2021-05-11","cited_by_count":8255},{"id":"2207.12598","title":"Classifier-Free Diffusion Guidance","created":"2022-07-26","cited_by_count":5847},{"id":"1612.03144","title":"Feature Pyramid Networks for Object Detection","created":"2016-12-09","cited_by_count":5036},{"id":"1907.05600","title":"Generative Modeling by Estimating Gradients of the Data Distribution","created":"2019-07-12","cited_by_count":4101},{"id":"1406.1078","title":"Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation","created":"2014-06-03","cited_by_count":4057},{"id":"2003.12039","title":"RAFT: Recurrent All-Pairs Field Transforms for Optical Flow","created":"2020-03-26","cited_by_count":2415},{"id":"2204.03458","title":"Video Diffusion Models","created":"2022-04-07","cited_by_count":2305},{"id":"2312.14132","title":"DUSt3R: Geometric 3D Vision Made Easy","created":"2023-12-21","cited_by_count":1567},{"id":"1804.02505","title":"MVSNet: Depth Inference for Unstructured Multi-view Stereo","created":"2018-04-07","cited_by_count":788},{"id":"1911.10127","title":"BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo Networks","created":"2019-11-22","cited_by_count":490},{"id":"1912.06378","title":"Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching","created":"2019-12-13","cited_by_count":417},{"id":"2211.09788","title":"DiffusionDet: Diffusion Model for Object Detection","created":"2022-11-17","cited_by_count":354},{"id":"2109.07547","title":"RAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matching","created":"2021-09-15","cited_by_count":353},{"id":"1902.10556","title":"Recurrent MVSNet for High-resolution Multi-view Stereo Depth Inference","created":"2019-02-27","cited_by_count":254},{"id":"2012.01411","title":"PatchmatchNet: Learned Multi-View Patchmatch Stereo","created":"2020-12-02","cited_by_count":207},{"id":"1912.08329","title":"Cost Volume Pyramid Based Depth Inference for Multi-View Stereo","created":"2019-12-18","cited_by_count":154},{"id":"1911.12012","title":"Deep Stereo using Adaptive Thin Volume Representation with Uncertainty Awareness","created":"2019-11-27","cited_by_count":151},{"id":"2303.17559","title":"DDP: Diffusion Model for Dense Visual Prediction","created":"2023-03-30","cited_by_count":148},{"id":"2306.15667","title":"PoseDiffusion: Solving Pose Estimation via Diffusion-aided Bundle Adjustment","created":"2023-06-27","cited_by_count":147},{"id":"2402.14817","title":"Cameras as Rays: Pose Estimation via Ray Diffusion","created":"2024-02-22","cited_by_count":131},{"id":"1708.01749","title":"SurfaceNet: An End-to-end 3D Neural Network for Multiview Stereopsis","created":"2017-08-05","cited_by_count":128},{"id":"2111.14600","title":"TransMVSNet: Global Context-aware Multi-view Stereo Network with Transformers","created":"2021-11-29","cited_by_count":117},{"id":"1904.08103","title":"Multi-Scale Geometric Consistency Guided Multi-View Stereo","created":"2019-04-17","cited_by_count":105},{"id":"2008.07928","title":"Visibility-aware Multi-view Stereo Network","created":"2020-08-18","cited_by_count":98},{"id":"2201.01501","title":"Rethinking Depth Estimation for Multi-View Stereo: A Unified Representation","created":"2022-01-05","cited_by_count":82},{"id":"2303.05021","title":"DiffusionDepth: Diffusion Denoising Approach for Monocular Depth Estimation","created":"2023-03-09","cited_by_count":82},{"id":"2007.10872","title":"Dense Hybrid Recurrent Multi-view Stereo Net with Dynamic Consistency Checking","created":"2020-07-21","cited_by_count":81},{"id":"2108.03824","title":"AA-RMVSNet: Adaptive Aggregation Recurrent Multi-view Stereo Network","created":"2021-08-09","cited_by_count":71},{"id":"1912.11746","title":"Learning Inverse Depth Regression for Multi-View Stereo with Correlation Cost Volume","created":"2019-12-26","cited_by_count":59},{"id":"1912.11744","title":"Planar Prior Assisted PatchMatch Multi-View Stereo","created":"2019-12-26","cited_by_count":57},{"id":"2112.05126","title":"IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo","created":"2021-12-09","cited_by_count":56},{"id":"2205.04502","title":"Multiview Stereo with Cascaded Epipolar RAFT","created":"2022-05-09","cited_by_count":51},{"id":"2204.07346","title":"MVSTER: Epipolar Transformer for Efficient Multi-View Stereo","created":"2022-04-15","cited_by_count":50},{"id":"2207.08000","title":"DiffuStereo: High Quality Human Reconstruction via Diffusion-based Stereo Using Sparse Cameras","created":"2022-07-16","cited_by_count":43},{"id":"2502.07685","title":"Matrix3D: Large Photogrammetry Model All-in-One","created":"2025-02-11","cited_by_count":40},{"id":"2007.07714","title":"PVSNet: Pixelwise Visibility-Aware Multi-View Stereo Network","created":"2020-07-15","cited_by_count":35},{"id":"2305.19094","title":"Diffusion Model for Dense Matching","created":"2023-05-30","cited_by_count":21},{"id":"2503.14483","title":"Multi-view Reconstruction via SfM-guided Monocular Depth Estimation","created":"2025-03-18","cited_by_count":20},{"id":"1701.00165","title":"Improved Stereo Matching with Constant Highway Networks and Reflective Confidence Learning","created":"2016-12-31","cited_by_count":18},{"id":"2309.17218","title":"When Epipolar Constraint Meets Non-local Operators in Multi-View Stereo","created":"2023-09-29","cited_by_count":14},{"id":"2310.19583","title":"GC-MVSNet: Multi-View, Multi-Scale, Geometrically-Consistent Multi-View Stereo","created":"2023-10-30","cited_by_count":8},{"id":"2303.09758","title":"Hierarchical Prior Mining for Non-local Multi-View Stereo","created":"2023-03-17","cited_by_count":7},{"id":"2110.06436","title":"Non-local Recurrent Regularization Networks for Multi-view Stereo","created":"2021-10-13","cited_by_count":6},{"id":"2312.01746","title":"Open-DDVM: A Reproduction and Extension of Diffusion Model for Optical Flow Estimation","created":"2023-12-04","cited_by_count":3}],"next_cursor":null}