{"total":179,"rows":[{"id":"2112.05131","title":"Plenoxels: Radiance Fields without Neural Networks","created":"2021-12-09","cited_by_count":1613,"area":null},{"id":"2312.14132","title":"DUSt3R: Geometric 3D Vision Made Easy","created":"2023-12-21","cited_by_count":1567,"area":null},{"id":"2103.14024","title":"PlenOctrees for Real-time Rendering of Neural Radiance Fields","created":"2021-03-25","cited_by_count":905,"area":null},{"id":"2104.03670","title":"3D Shape Generation and Completion through Point-Voxel Diffusion","created":"2021-04-08","cited_by_count":516,"area":null},{"id":"2111.04276","title":"Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesis","created":"2021-11-08","cited_by_count":460,"area":null},{"id":"2311.15475","title":"MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers","created":"2023-11-27","cited_by_count":259,"area":null},{"id":"2101.02691","title":"Self-Supervised Pretraining of 3D Features on any Point-Cloud","created":"2021-01-07","cited_by_count":217,"area":null},{"id":"2104.00678","title":"Group-Free 3D Object Detection via Transformers","created":"2021-04-01","cited_by_count":215,"area":null},{"id":"2109.01129","title":"NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo","created":"2021-09-02","cited_by_count":192,"area":null},{"id":"2312.03806","title":"XCube: Large-Scale 3D Generative Modeling using Sparse Voxel Hierarchies","created":"2023-12-06","cited_by_count":189,"area":null},{"id":"2302.10109","title":"NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware Diffusion","created":"2023-02-20","cited_by_count":180,"area":null},{"id":"2103.15606","title":"GNeRF: GAN-based Neural Radiance Field without Posed Camera","created":"2021-03-29","cited_by_count":153,"area":null},{"id":"2303.14435","title":"NeRF-DS: Neural Radiance Fields for Dynamic Specular Objects","created":"2023-03-25","cited_by_count":111,"area":null},{"id":"2103.10429","title":"Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks","created":"2021-03-18","cited_by_count":103,"area":null},{"id":"2201.01831","title":"POCO: Point Convolution for Surface Reconstruction","created":"2022-01-05","cited_by_count":92,"area":null},{"id":"2103.02690","title":"A comprehensive survey on point cloud registration","created":"2021-03-03","cited_by_count":84,"area":null},{"id":"2106.10811","title":"DiGS : Divergence guided shape implicit neural representation for unoriented point clouds","created":"2021-06-21","cited_by_count":77,"area":null},{"id":"2205.02825","title":"Dual Octree Graph Networks for Learning Adaptive Volumetric Shape Representations","created":"2022-05-05","cited_by_count":71,"area":null},{"id":"2208.07227","title":"DM-NeRF: 3D Scene Geometry Decomposition and Manipulation from 2D Images","created":"2022-08-15","cited_by_count":69,"area":null},{"id":"2103.12266","title":"Deep Implicit Moving Least-Squares Functions for 3D Reconstruction","created":"2021-03-23","cited_by_count":67,"area":null},{"id":"2112.01988","title":"ROCA: Robust CAD Model Retrieval and Alignment from a Single Image","created":"2021-12-03","cited_by_count":67,"area":null},{"id":"2105.03582","title":"SA-ConvONet: Sign-Agnostic Optimization of Convolutional Occupancy Networks","created":"2021-05-08","cited_by_count":59,"area":null},{"id":"2312.03774","title":"OctreeOcc: Efficient and Multi-Granularity Occupancy Prediction Using Octree Queries","created":"2023-12-06","cited_by_count":48,"area":null},{"id":"2104.08418","title":"FiG-NeRF: Figure-Ground Neural Radiance Fields for 3D Object Category Modelling","created":"2021-04-17","cited_by_count":47,"area":null},{"id":"2204.07126","title":"GIFS: Neural Implicit Function for General Shape Representation","created":"2022-04-14","cited_by_count":45,"area":null},{"id":"2103.15627","title":"Learning Generative Models of Textured 3D Meshes from Real-World Images","created":"2021-03-29","cited_by_count":44,"area":null},{"id":"2207.08656","title":"Towards High-Fidelity Single-view Holistic Reconstruction of Indoor Scenes","created":"2022-07-18","cited_by_count":44,"area":null},{"id":"2410.13530","title":"L3DG: Latent 3D Gaussian Diffusion","created":"2024-10-17","cited_by_count":42,"area":null},{"id":"2101.07253","title":"Cross-modal Learning for Domain Adaptation in 3D Semantic Segmentation","created":"2021-01-18","cited_by_count":40,"area":null},{"id":"2108.09432","title":"ARAPReg: An As-Rigid-As Possible Regularization Loss for Learning Deformable Shape Generators","created":"2021-08-21","cited_by_count":40,"area":null},{"id":"2108.09368","title":"Patch2CAD: Patchwise Embedding Learning for In-the-Wild Shape Retrieval from a Single Image","created":"2021-08-20","cited_by_count":39,"area":null},{"id":"2111.12480","title":"Octree Transformer: Autoregressive 3D Shape Generation on Hierarchically Structured Sequences","created":"2021-11-24","cited_by_count":39,"area":null},{"id":"2403.15385","title":"LATTE3D: Large-scale Amortized Text-To-Enhanced3D Synthesis","created":"2024-03-22","cited_by_count":39,"area":null},{"id":"2105.08612","title":"SAIL-VOS 3D: A Synthetic Dataset and Baselines for Object Detection and 3D Mesh Reconstruction from Video Data","created":"2021-05-18","cited_by_count":38,"area":null},{"id":"2304.00287","title":"Vision Transformers with Mixed-Resolution Tokenization","created":"2023-04-01","cited_by_count":36,"area":null},{"id":"2109.05591","title":"Multiresolution Deep Implicit Functions for 3D Shape Representation","created":"2021-09-12","cited_by_count":35,"area":null},{"id":"2211.16835","title":"Reconstructing Hand-Held Objects from Monocular Video","created":"2022-11-30","cited_by_count":35,"area":null},{"id":"2206.04942","title":"Neural Template: Topology-aware Reconstruction and Disentangled Generation of 3D Meshes","created":"2022-06-10","cited_by_count":34,"area":null},{"id":"2103.16341","title":"Learning Parallel Dense Correspondence from Spatio-Temporal Descriptors for Efficient and Robust 4D Reconstruction","created":"2021-03-30","cited_by_count":31,"area":null},{"id":"2206.02780","title":"GenSDF: Two-Stage Learning of Generalizable Signed Distance Functions","created":"2022-06-06","cited_by_count":30,"area":null},{"id":"2312.14198","title":"ZeroShape: Regression-based Zero-shot Shape Reconstruction","created":"2023-12-21","cited_by_count":30,"area":null},{"id":"2104.00024","title":"RetrievalFuse: Neural 3D Scene Reconstruction with a Database","created":"2021-03-31","cited_by_count":28,"area":null},{"id":"2107.05775","title":"Fast and Explicit Neural View Synthesis","created":"2021-07-12","cited_by_count":28,"area":null},{"id":"2312.06398","title":"NVFi: Neural Velocity Fields for 3D Physics Learning from Dynamic Videos","created":"2023-12-11","cited_by_count":28,"area":null},{"id":"2205.15572","title":"3PSDF: Three-Pole Signed Distance Function for Learning Surfaces with Arbitrary Topologies","created":"2022-05-31","cited_by_count":27,"area":null},{"id":"2106.12102","title":"LegoFormer: Transformers for Block-by-Block Multi-view 3D Reconstruction","created":"2021-06-23","cited_by_count":25,"area":null},{"id":"2111.01067","title":"OctField: Hierarchical Implicit Functions for 3D Modeling","created":"2021-11-01","cited_by_count":25,"area":null},{"id":"2308.14177","title":"AI-Generated Content (AIGC) for Various Data Modalities: A Survey","created":"2023-08-27","cited_by_count":25,"area":null},{"id":"2103.08271","title":"Learning Compositional Representation for 4D Captures with Neural ODE","created":"2021-03-15","cited_by_count":22,"area":null},{"id":"2107.14230","title":"Learning with Noisy Labels for Robust Point Cloud Segmentation","created":"2021-07-29","cited_by_count":22,"area":null},{"id":"2207.04161","title":"Few 'Zero Level Set'-Shot Learning of Shape Signed Distance Functions in Feature Space","created":"2022-07-09","cited_by_count":22,"area":null},{"id":"2204.09866","title":"Pixel2Mesh++: 3D Mesh Generation and Refinement from Multi-View Images","created":"2022-04-21","cited_by_count":21,"area":null},{"id":"2206.04916","title":"PatchComplete: Learning Multi-Resolution Patch Priors for 3D Shape Completion on Unseen Categories","created":"2022-06-10","cited_by_count":21,"area":null},{"id":"2212.04096","title":"ALTO: Alternating Latent Topologies for Implicit 3D Reconstruction","created":"2022-12-08","cited_by_count":21,"area":null},{"id":"2108.08931","title":"Augmenting Implicit Neural Shape Representations with Explicit Deformation Fields","created":"2021-08-19","cited_by_count":19,"area":null},{"id":"2109.11071","title":"Learning to Downsample for Segmentation of Ultra-High Resolution Images","created":"2021-09-22","cited_by_count":19,"area":null},{"id":"2410.18979","title":"PixelGaussian: Generalizable 3D Gaussian Reconstruction from Arbitrary Views","created":"2024-10-24","cited_by_count":19,"area":null},{"id":"2108.08187","title":"ME-PCN: Point Completion Conditioned on Mask Emptiness","created":"2021-08-18","cited_by_count":18,"area":null},{"id":"2108.08653","title":"3DIAS: 3D Shape Reconstruction with Implicit Algebraic Surfaces","created":"2021-08-19","cited_by_count":17,"area":null},{"id":"2111.15207","title":"NeeDrop: Self-supervised Shape Representation from Sparse Point Clouds using Needle Dropping","created":"2021-11-30","cited_by_count":16,"area":null},{"id":"2204.09138","title":"RangeUDF: Semantic Surface Reconstruction from 3D Point Clouds","created":"2022-04-19","cited_by_count":16,"area":null},{"id":"2205.13682","title":"ANISE: Assembly-based Neural Implicit Surface rEconstruction","created":"2022-05-27","cited_by_count":16,"area":null},{"id":"2303.04341","title":"Neural Vector Fields: Implicit Representation by Explicit Learning","created":"2023-03-08","cited_by_count":16,"area":null},{"id":"2104.08383","title":"Optimal Pose and Shape Estimation for Category-level 3D Object Perception","created":"2021-04-16","cited_by_count":15,"area":null},{"id":"2110.08861","title":"3D-RETR: End-to-End Single and Multi-View 3D Reconstruction with Transformers","created":"2021-10-17","cited_by_count":15,"area":null},{"id":"2203.14714","title":"Primitive-based Shape Abstraction via Nonparametric Bayesian Inference","created":"2022-03-28","cited_by_count":15,"area":null},{"id":"2306.06110","title":"Surrogate Modeling of Car Drag Coefficient with Depth and Normal Renderings","created":"2023-05-26","cited_by_count":15,"area":null},{"id":"2404.02759","title":"Unsupervised Occupancy Learning from Sparse Point Cloud","created":"2024-04-03","cited_by_count":15,"area":null},{"id":"2106.11795","title":"DeepMesh: Differentiable Iso-Surface Extraction","created":"2021-06-20","cited_by_count":14,"area":null},{"id":"2108.02425","title":"Simultaneous Semantic and Collision Learning for 6-DoF Grasp Pose Estimation","created":"2021-08-05","cited_by_count":14,"area":null},{"id":"2108.08477","title":"Image2Lego: Customized LEGO Set Generation from Images","created":"2021-08-19","cited_by_count":14,"area":null},{"id":"2209.15383","title":"Semi-Supervised Single-View 3D Reconstruction via Prototype Shape Priors","created":"2022-09-30","cited_by_count":14,"area":null},{"id":"2304.02991","title":"Exploiting the Complementarity of 2D and 3D Networks to Address Domain-Shift in 3D Semantic Segmentation","created":"2023-04-06","cited_by_count":14,"area":null},{"id":"2307.03869","title":"Sketch-A-Shape: Zero-Shot Sketch-to-3D Shape Generation","created":"2023-07-08","cited_by_count":14,"area":null},{"id":"2308.14039","title":"Deep Learning for Visual Localization and Mapping: A Survey","created":"2023-08-27","cited_by_count":14,"area":null},{"id":"2309.05662","title":"ViHOPE: Visuotactile In-Hand Object 6D Pose Estimation with Shape Completion","created":"2023-09-11","cited_by_count":14,"area":null},{"id":"2312.04043","title":"Doodle Your 3D: From Abstract Freehand Sketches to Precise 3D Shapes","created":"2023-12-07","cited_by_count":14,"area":null},{"id":"2110.11860","title":"AIR-Nets: An Attention-Based Framework for Locally Conditioned Implicit Representations","created":"2021-10-22","cited_by_count":13,"area":null},{"id":"2312.02221","title":"Slice3D: Multi-Slice, Occlusion-Revealing, Single View 3D Reconstruction","created":"2023-12-03","cited_by_count":13,"area":null},{"id":"2403.16885","title":"CVT-xRF: Contrastive In-Voxel Transformer for 3D Consistent Radiance Fields from Sparse Inputs","created":"2024-03-25","cited_by_count":13,"area":null},{"id":"2504.02817","title":"Efficient Autoregressive Shape Generation via Octree-Based Adaptive Tokenization","created":"2025-04-03","cited_by_count":13,"area":null},{"id":"2101.00483","title":"Learning Rotation-Invariant Representations of Point Clouds Using Aligned Edge Convolutional Neural Networks","created":"2021-01-02","cited_by_count":12,"area":null},{"id":"2107.00462","title":"Deep Hierarchical Super Resolution for Scientific Data","created":"2021-05-30","cited_by_count":12,"area":null},{"id":"2108.13004","title":"X2Teeth: 3D Teeth Reconstruction from a Single Panoramic Radiograph","created":"2021-08-30","cited_by_count":12,"area":null},{"id":"2309.12594","title":"DeFormer: Integrating Transformers with Deformable Models for 3D Shape Abstraction from a Single Image","created":"2023-09-22","cited_by_count":12,"area":null},{"id":"2310.19629","title":"RayDF: Neural Ray-surface Distance Fields with Multi-view Consistency","created":"2023-10-30","cited_by_count":12,"area":null},{"id":"2311.12125","title":"Mixing-Denoising Generalizable Occupancy Networks","created":"2023-11-20","cited_by_count":12,"area":null},{"id":"2206.01290","title":"Points2NeRF: Generating Neural Radiance Fields from 3D point cloud","created":"2022-06-02","cited_by_count":11,"area":null},{"id":"2101.02744","title":"Deep Generative Model for Efficient 3D Airfoil Parameterization and Generation","created":"2021-01-07","cited_by_count":10,"area":null},{"id":"2107.11024","title":"A Deep Signed Directional Distance Function for Object Shape Representation","created":"2021-07-23","cited_by_count":10,"area":null},{"id":"2311.12967","title":"Robustifying Generalizable Implicit Shape Networks with a Tunable Non-Parametric Model","created":"2023-11-21","cited_by_count":10,"area":null},{"id":"2104.00476","title":"Fostering Generalization in Single-view 3D Reconstruction by Learning a Hierarchy of Local and Global Shape Priors","created":"2021-04-01","cited_by_count":9,"area":null},{"id":"2208.00183","title":"Few-shot Single-view 3D Reconstruction with Memory Prior Contrastive Network","created":"2022-07-30","cited_by_count":9,"area":null},{"id":"2309.14600","title":"Progressive Text-to-3D Generation for Automatic 3D Prototyping","created":"2023-09-26","cited_by_count":9,"area":null},{"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,"area":null},{"id":"2104.05328","title":"RPSRNet: End-to-End Trainable Rigid Point Set Registration Network using Barnes-Hut $2^D$-Tree Representation","created":"2021-04-12","cited_by_count":8,"area":null},{"id":"2108.02708","title":"Object Wake-up: 3D Object Rigging from a Single Image","created":"2021-08-05","cited_by_count":8,"area":null},{"id":"2108.13459","title":"LSD-StructureNet: Modeling Levels of Structural Detail in 3D Part Hierarchies","created":"2021-08-18","cited_by_count":8,"area":null},{"id":"2112.02091","title":"Class-agnostic Reconstruction of Dynamic Objects from Videos","created":"2021-12-03","cited_by_count":8,"area":null},{"id":"2211.02299","title":"GARNet: Global-Aware Multi-View 3D Reconstruction Network and the Cost-Performance Tradeoff","created":"2022-11-04","cited_by_count":8,"area":null}],"next_cursor":"100"}