{"list":"other","total":55,"rows":[{"id":"1901.05103","title":"DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation","created":"2019-01-16","cited_by_count":2689},{"id":"2106.01946","title":"Convex optimization","created":"2021-06-03","cited_by_count":2515},{"id":"1812.03828","title":"Occupancy Networks: Learning 3D Reconstruction in Function Space","created":"2018-12-10","cited_by_count":2041},{"id":"2106.10689","title":"NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction","created":"2021-06-20","cited_by_count":1712},{"id":"1812.02822","title":"Learning Implicit Fields for Generative Shape Modeling","created":"2018-12-06","cited_by_count":1060},{"id":"1612.00603","title":"A Point Set Generation Network for 3D Object Reconstruction from a Single Image","created":"2016-12-02","cited_by_count":979},{"id":"1906.05797","title":"The Replica Dataset: A Digital Replica of Indoor Spaces","created":"2019-06-13","cited_by_count":904},{"id":"2011.12100","title":"GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields","created":"2020-11-24","cited_by_count":785},{"id":"1804.01654","title":"Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images","created":"2018-04-05","cited_by_count":651},{"id":"2208.05868","title":"TotalSegmentator: robust segmentation of 104 anatomical structures in CT images","created":"2022-08-11","cited_by_count":613},{"id":"2302.04264","title":"Nerfstudio: A Modular Framework for Neural Radiance Field Development","created":"2023-02-08","cited_by_count":600},{"id":"1703.00443","title":"OptNet: Differentiable Optimization as a Layer in Neural Networks","created":"2017-03-01","cited_by_count":599},{"id":"1604.00449","title":"3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction","created":"2016-04-02","cited_by_count":588},{"id":"1610.07584","title":"Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling","created":"2016-10-24","cited_by_count":558},{"id":"2210.06978","title":"LION: Latent Point Diffusion Models for 3D Shape Generation","created":"2022-10-12","cited_by_count":553},{"id":"1802.05384","title":"AtlasNet: A Papier-M\\^ach\\'e Approach to Learning 3D Surface Generation","created":"2018-02-15","cited_by_count":539},{"id":"1812.02713","title":"PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object Understanding","created":"2018-12-06","cited_by_count":526},{"id":"2206.00665","title":"MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction","created":"2022-06-01","cited_by_count":470},{"id":"2111.04276","title":"Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesis","created":"2021-11-08","cited_by_count":460},{"id":"2301.11445","title":"3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models","created":"2023-01-26","cited_by_count":458},{"id":"2406.13897","title":"CLAY: A Controllable Large-scale Generative Model for Creating High-quality 3D Assets","created":"2024-05-30","cited_by_count":455},{"id":"2101.10994","title":"Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes","created":"2021-01-26","cited_by_count":426},{"id":"1803.07549","title":"Learning Category-Specific Mesh Reconstruction from Image Collections","created":"2018-03-20","cited_by_count":317},{"id":"2010.13938","title":"Neural Unsigned Distance Fields for Implicit Function Learning","created":"2020-10-26","cited_by_count":265},{"id":"1612.00101","title":"Shape Completion using 3D-Encoder-Predictor CNNs and Shape Synthesis","created":"2016-12-01","cited_by_count":219},{"id":"2203.09516","title":"AutoSDF: Shape Priors for 3D Completion, Reconstruction and Generation","created":"2022-03-17","cited_by_count":208},{"id":"2106.03452","title":"Shape As Points: A Differentiable Poisson Solver","created":"2021-06-07","cited_by_count":187},{"id":"2008.04451","title":"Grasping Field: Learning Implicit Representations for Human Grasps","created":"2020-08-10","cited_by_count":179},{"id":"1912.07109","title":"SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization","created":"2019-12-15","cited_by_count":159},{"id":"2506.16504","title":"Hunyuan3D 2.5: Towards High-Fidelity 3D Assets Generation with Ultimate Details","created":"2025-06-19","cited_by_count":125},{"id":"1911.10949","title":"PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes","created":"2019-11-25","cited_by_count":119},{"id":"2006.03997","title":"MeshSDF: Differentiable Iso-Surface Extraction","created":"2020-06-06","cited_by_count":112},{"id":"1909.00321","title":"Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks","created":"2019-09-01","cited_by_count":106},{"id":"2412.17808","title":"Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders","created":"2024-12-23","cited_by_count":98},{"id":"2205.13914","title":"3DILG: Irregular Latent Grids for 3D Generative Modeling","created":"2022-05-27","cited_by_count":93},{"id":"2004.02869","title":"DualSDF: Semantic Shape Manipulation using a Two-Level Representation","created":"2020-04-06","cited_by_count":82},{"id":"2207.09686","title":"Object-Compositional Neural Implicit Surfaces","created":"2022-07-20","cited_by_count":74},{"id":"2208.07227","title":"DM-NeRF: 3D Scene Geometry Decomposition and Manipulation from 2D Images","created":"2022-08-15","cited_by_count":69},{"id":"2303.10840","title":"Ref-NeuS: Ambiguity-Reduced Neural Implicit Surface Learning for Multi-View Reconstruction with Reflection","created":"2023-03-20","cited_by_count":69},{"id":"2302.01838","title":"vMAP: Vectorised Object Mapping for Neural Field SLAM","created":"2023-02-03","cited_by_count":67},{"id":"2211.14173","title":"NeuralUDF: Learning Unsigned Distance Fields for Multi-view Reconstruction of Surfaces with Arbitrary Topologies","created":"2022-11-25","cited_by_count":63},{"id":"2104.08418","title":"FiG-NeRF: Figure-Ground Neural Radiance Fields for 3D Object Category Modelling","created":"2021-04-17","cited_by_count":47},{"id":"2304.10080","title":"NeUDF: Leaning Neural Unsigned Distance Fields with Volume Rendering","created":"2023-04-20","cited_by_count":41},{"id":"2308.07868","title":"ObjectSDF++: Improved Object-Compositional Neural Implicit Surfaces","created":"2023-08-15","cited_by_count":39},{"id":"2303.09554","title":"PartNeRF: Generating Part-Aware Editable 3D Shapes without 3D Supervision","created":"2023-03-16","cited_by_count":36},{"id":"2309.08878","title":"Surface Extraction from Neural Unsigned Distance Fields","created":"2023-09-16","cited_by_count":17},{"id":"2205.13682","title":"ANISE: Assembly-based Neural Implicit Surface rEconstruction","created":"2022-05-27","cited_by_count":16},{"id":"2211.11402","title":"An Implicit Parametric Morphable Dental Model","created":"2022-11-21","cited_by_count":12},{"id":"2502.12985","title":"PartSDF: Part-Based Implicit Neural Representation for Composite 3D Shape Parametrization and Optimization","created":"2025-02-18","cited_by_count":9},{"id":"2412.02589","title":"MedTet: An Online Motion Model for 4D Heart Reconstruction","created":"2024-12-03","cited_by_count":5},{"id":"2409.06710","title":"McGrids: Monte Carlo-Driven Adaptive Grids for Iso-Surface Extraction","created":"2024-08-25","cited_by_count":4},{"id":"2312.10246","title":"Implicit Modeling of Non-rigid Objects with Cross-Category Signals","created":"2023-12-15","cited_by_count":3},{"id":"2307.08716","title":"Pairwise-Constrained Implicit Functions for 3D Human Heart Modelling","created":"2023-07-16","cited_by_count":2},{"id":"2408.09928","title":"Enforcing View-Consistency in Class-Agnostic 3D Segmentation Fields","created":"2024-08-19","cited_by_count":2},{"id":"2509.17212","title":"High Resolution UDF Meshing via Iterative Networks","created":"2025-09-21","cited_by_count":2}],"next_cursor":null}