{"list":"other","total":58,"rows":[{"id":"2201.05989","title":"Instant Neural Graphics Primitives with a Multiresolution Hash Encoding","created":"2022-01-16","cited_by_count":3723},{"id":"2209.14988","title":"DreamFusion: Text-to-3D using 2D Diffusion","created":"2022-09-29","cited_by_count":3025},{"id":"1901.05103","title":"DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation","created":"2019-01-16","cited_by_count":2689},{"id":"2006.09661","title":"Implicit Neural Representations with Periodic Activation Functions","created":"2020-06-17","cited_by_count":2238},{"id":"2006.10739","title":"Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains","created":"2020-06-18","cited_by_count":2200},{"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":"2112.05131","title":"Plenoxels: Radiance Fields without Neural Networks","created":"2021-12-09","cited_by_count":1613},{"id":"2011.12948","title":"Nerfies: Deformable Neural Radiance Fields","created":"2020-11-25","cited_by_count":1198},{"id":"1812.02822","title":"Learning Implicit Fields for Generative Shape Modeling","created":"2018-12-06","cited_by_count":1060},{"id":"2106.12052","title":"Volume Rendering of Neural Implicit Surfaces","created":"2021-06-22","cited_by_count":996},{"id":"1906.05797","title":"The Replica Dataset: A Digital Replica of Indoor Spaces","created":"2019-06-13","cited_by_count":904},{"id":"2010.07492","title":"NeRF++: Analyzing and Improving Neural Radiance Fields","created":"2020-10-15","cited_by_count":861},{"id":"1804.02505","title":"MVSNet: Depth Inference for Unstructured Multi-view Stereo","created":"2018-04-07","cited_by_count":788},{"id":"2003.04618","title":"Convolutional Occupancy Networks","created":"2020-03-10","cited_by_count":761},{"id":"2002.10099","title":"Implicit Geometric Regularization for Learning Shapes","created":"2020-02-24","cited_by_count":710},{"id":"1912.07372","title":"Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision","created":"2019-12-16","cited_by_count":700},{"id":"2212.08751","title":"Point-E: A System for Generating 3D Point Clouds from Complex Prompts","created":"2022-12-16","cited_by_count":699},{"id":"2303.13873","title":"Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation","created":"2023-03-24","cited_by_count":687},{"id":"2104.10078","title":"UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction","created":"2021-04-20","cited_by_count":646},{"id":"2112.12130","title":"NICE-SLAM: Neural Implicit Scalable Encoding for SLAM","created":"2021-12-22","cited_by_count":589},{"id":"2206.00665","title":"MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction","created":"2022-06-01","cited_by_count":470},{"id":"2306.03092","title":"Neuralangelo: High-Fidelity Neural Surface Reconstruction","created":"2023-06-05","cited_by_count":467},{"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":"1911.10414","title":"SAL: Sign Agnostic Learning of Shapes from Raw Data","created":"2019-11-23","cited_by_count":390},{"id":"2305.02463","title":"Shap-E: Generating Conditional 3D Implicit Functions","created":"2023-05-03","cited_by_count":385},{"id":"2003.08981","title":"Local Implicit Grid Representations for 3D Scenes","created":"2020-03-19","cited_by_count":373},{"id":"2003.10983","title":"Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction","created":"2020-03-24","cited_by_count":321},{"id":"2104.04532","title":"Neural RGB-D Surface Reconstruction","created":"2021-04-09","cited_by_count":313},{"id":"2302.10663","title":"RealFusion: 360{\\deg} Reconstruction of Any Object from a Single Image","created":"2023-02-21","cited_by_count":306},{"id":"2303.13508","title":"DreamBooth3D: Subject-Driven Text-to-3D Generation","created":"2023-03-23","cited_by_count":235},{"id":"2302.12249","title":"MERF: Memory-Efficient Radiance Fields for Real-time View Synthesis in Unbounded Scenes","created":"2023-02-23","cited_by_count":218},{"id":"2205.15848","title":"Geo-Neus: Geometry-Consistent Neural Implicit Surfaces Learning for Multi-view Reconstruction","created":"2022-05-31","cited_by_count":212},{"id":"2303.05371","title":"3DGen: Triplane Latent Diffusion for Textured Mesh Generation","created":"2023-03-09","cited_by_count":183},{"id":"1912.07109","title":"SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization","created":"2019-12-15","cited_by_count":159},{"id":"2011.13495","title":"Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces","created":"2020-11-26","cited_by_count":147},{"id":"2112.09648","title":"Improving neural implicit surfaces geometry with patch warping","created":"2021-12-17","cited_by_count":137},{"id":"2206.13597","title":"NeuRIS: Neural Reconstruction of Indoor Scenes Using Normal Priors","created":"2022-06-27","cited_by_count":125},{"id":"2205.02836","title":"Neural 3D Scene Reconstruction with the Manhattan-world Assumption","created":"2022-05-05","cited_by_count":123},{"id":"2206.07850","title":"HF-NeuS: Improved Surface Reconstruction Using High-Frequency Details","created":"2022-06-15","cited_by_count":121},{"id":"2006.05400","title":"SALD: Sign Agnostic Learning with Derivatives","created":"2020-06-09","cited_by_count":115},{"id":"2302.10668","title":"$PC^2$: Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction","created":"2023-02-21","cited_by_count":84},{"id":"2211.12562","title":"PermutoSDF: Fast Multi-View Reconstruction with Implicit Surfaces using Permutohedral Lattices","created":"2022-11-22","cited_by_count":73},{"id":"2103.12266","title":"Deep Implicit Moving Least-Squares Functions for 3D Reconstruction","created":"2021-03-23","cited_by_count":67},{"id":"2204.10603","title":"Reconstructing Surfaces for Sparse Point Clouds with On-Surface Priors","created":"2022-04-22","cited_by_count":60},{"id":"2104.09125","title":"SAPE: Spatially-Adaptive Progressive Encoding for Neural Optimization","created":"2021-04-19","cited_by_count":59},{"id":"2105.03582","title":"SA-ConvONet: Sign-Agnostic Optimization of Convolutional Occupancy Networks","created":"2021-05-08","cited_by_count":59},{"id":"2204.11015","title":"Surface Reconstruction from Point Clouds by Learning Predictive Context Priors","created":"2022-04-23","cited_by_count":54},{"id":"1901.06802","title":"Deep Level Sets: Implicit Surface Representations for 3D Shape Inference","created":"2019-01-21","cited_by_count":53},{"id":"2210.02757","title":"CAP-UDF: Learning Unsigned Distance Functions Progressively from Raw Point Clouds with Consistency-Aware Field Optimization","created":"2022-10-06","cited_by_count":47},{"id":"2203.14048","title":"Learning Deep Implicit Functions for 3D Shapes with Dynamic Code Clouds","created":"2022-03-26","cited_by_count":42},{"id":"2304.10080","title":"NeUDF: Leaning Neural Unsigned Distance Fields with Volume Rendering","created":"2023-04-20","cited_by_count":41},{"id":"2303.12012","title":"NeAT: Learning Neural Implicit Surfaces with Arbitrary Topologies from Multi-view Images","created":"2023-03-21","cited_by_count":33},{"id":"2012.07498","title":"Sign-Agnostic Implicit Learning of Surface Self-Similarities for Shape Modeling and Reconstruction from Raw Point Clouds","created":"2020-12-14","cited_by_count":30},{"id":"2206.02780","title":"GenSDF: Two-Stage Learning of Generalizable Signed Distance Functions","created":"2022-06-06","cited_by_count":30},{"id":"2303.14505","title":"Unsupervised Inference of Signed Distance Functions from Single Sparse Point Clouds without Learning Priors","created":"2023-03-25","cited_by_count":28},{"id":"2306.01405","title":"Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise Mapping","created":"2023-06-02","cited_by_count":27},{"id":"2207.08631","title":"Latent Partition Implicit with Surface Codes for 3D Representation","created":"2022-07-18","cited_by_count":21}],"next_cursor":null}