{"total":187,"rows":[{"id":"2305.02463","title":"Shap-E: Generating Conditional 3D Implicit Functions","created":"2023-05-03","cited_by_count":385,"area":null},{"id":"2311.13384","title":"LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes","created":"2023-11-22","cited_by_count":231,"area":null},{"id":"2304.06714","title":"Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction","created":"2023-04-13","cited_by_count":180,"area":"diffusion"},{"id":"2207.13751","title":"GAUDI: A Neural Architect for Immersive 3D Scene Generation","created":"2022-07-27","cited_by_count":136,"area":null},{"id":"2211.13757","title":"Diffusion-SDF: Conditional Generative Modeling of Signed Distance Functions","created":"2022-11-24","cited_by_count":133,"area":"diffusion"},{"id":"2301.12780","title":"Equivariant Architectures for Learning in Deep Weight Spaces","created":"2023-01-30","cited_by_count":107,"area":null},{"id":"2403.12019","title":"LN3DIFF++: Scalable Latent Neural Fields Diffusion for Speedy 3D Generation","created":"2024-03-18","cited_by_count":92,"area":null},{"id":"2306.07349","title":"ATT3D: Amortized Text-to-3D Object Synthesis","created":"2023-06-06","cited_by_count":87,"area":null},{"id":"2306.07266","title":"Operator Learning with Neural Fields: Tackling PDEs on General Geometries","created":"2023-06-12","cited_by_count":84,"area":null},{"id":"2302.07400","title":"Score-based Diffusion Models in Function Space","created":"2023-02-14","cited_by_count":82,"area":"diffusion"},{"id":"2209.14855","title":"Continuous PDE Dynamics Forecasting with Implicit Neural Representations","created":"2022-09-29","cited_by_count":73,"area":null},{"id":"2302.05438","title":"Deep Learning on Implicit Neural Representations of Shapes","created":"2023-02-10","cited_by_count":63,"area":null},{"id":"2403.12143","title":"Graph Neural Networks for Learning Equivariant Representations of Neural Networks","created":"2024-03-18","cited_by_count":59,"area":null},{"id":"2302.03130","title":"Spatial Functa: Scaling Functa to ImageNet Classification and Generation","created":"2023-02-06","cited_by_count":57,"area":null},{"id":"2312.04501","title":"Graph Metanetworks for Processing Diverse Neural Architectures","created":"2023-12-07","cited_by_count":57,"area":null},{"id":"2212.00886","title":"Diffusion Generative Models in Infinite Dimensions","created":"2022-12-01","cited_by_count":49,"area":"diffusion"},{"id":"2403.12032","title":"Generic 3D Diffusion Adapter Using Controlled Multi-View Editing","created":"2024-03-18","cited_by_count":47,"area":"diffusion"},{"id":"2211.13223","title":"Generalizable Implicit Neural Representations via Instance Pattern Composers","created":"2022-11-23","cited_by_count":39,"area":null},{"id":"2303.00800","title":"Continuous-Time Functional Diffusion Processes","created":"2023-03-01","cited_by_count":39,"area":"diffusion"},{"id":"2406.02176","title":"AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local Neural Fields","created":"2024-06-04","cited_by_count":39,"area":null},{"id":"2305.19147","title":"Conditional score-based diffusion models for Bayesian inference in infinite dimensions","created":"2023-05-28","cited_by_count":38,"area":"diffusion"},{"id":"2408.09446","title":"Parameterized Physics-informed Neural Networks for Parameterized PDEs","created":"2024-08-18","cited_by_count":38,"area":null},{"id":"2506.13018","title":"Symmetry in Neural Network Parameter Spaces","created":"2025-06-16","cited_by_count":36,"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":"2406.10685","title":"Scale Equivariant Graph Metanetworks","created":"2024-06-15","cited_by_count":24,"area":null},{"id":"2407.19916","title":"Aero-Nef: Neural Fields for Rapid Aircraft Aerodynamics Simulations","created":"2024-07-29","cited_by_count":24,"area":null},{"id":"2312.03763","title":"Gaussian3Diff: 3D Gaussian Diffusion for 3D Full Head Synthesis and Editing","created":"2023-12-05","cited_by_count":22,"area":null},{"id":"2303.18242","title":"$\\infty$-Diff: Infinite Resolution Diffusion with Subsampled Mollified States","created":"2023-03-31","cited_by_count":21,"area":"diffusion"},{"id":"2502.11835","title":"Neural Chaos: A Spectral Stochastic Neural Operator","created":"2025-02-17","cited_by_count":21,"area":null},{"id":"2405.18515","title":"Atlas3D: Physically Constrained Self-Supporting Text-to-3D for Simulation and Fabrication","created":"2024-05-28","cited_by_count":20,"area":"diffusion"},{"id":"2506.07902","title":"FunDiff: Diffusion Models over Function Spaces for Physics-Informed Generative Modeling","created":"2025-06-09","cited_by_count":20,"area":"diffusion"},{"id":"2202.10847","title":"UncertaINR: Uncertainty Quantification of End-to-End Implicit Neural Representations for Computed Tomography","created":"2022-02-22","cited_by_count":19,"area":null},{"id":"2406.05753","title":"Grounding Continuous Representations in Geometry: Equivariant Neural Fields","created":"2024-06-09","cited_by_count":19,"area":null},{"id":"2410.18974","title":"3D-Adapter: Geometry-Consistent Multi-View Diffusion for High-Quality 3D Generation","created":"2024-10-24","cited_by_count":19,"area":"diffusion"},{"id":"2406.06660","title":"Space-Time Continuous PDE Forecasting using Equivariant Neural Fields","created":"2024-06-10","cited_by_count":18,"area":null},{"id":"2306.05880","title":"Time Series Continuous Modeling for Imputation and Forecasting with Implicit Neural Representations","created":"2023-06-09","cited_by_count":17,"area":null},{"id":"2409.11697","title":"Monomial Matrix Group Equivariant Neural Functional Networks","created":"2024-09-18","cited_by_count":17,"area":null},{"id":"2410.10811","title":"Deep Linear Probe Generators for Weight Space Learning","created":"2024-10-14","cited_by_count":17,"area":"mechinterp"},{"id":"2310.05624","title":"Locality-Aware Generalizable Implicit Neural Representation","created":"2023-10-09","cited_by_count":16,"area":null},{"id":"2401.12517","title":"DDMI: Domain-Agnostic Latent Diffusion Models for Synthesizing High-Quality Implicit Neural Representations","created":"2024-01-23","cited_by_count":16,"area":"diffusion"},{"id":"2403.11998","title":"Learning Useful Representations of Recurrent Neural Network Weight Matrices","created":"2024-03-18","cited_by_count":15,"area":null},{"id":"2405.10531","title":"Nonparametric Teaching of Implicit Neural Representations","created":"2024-05-17","cited_by_count":15,"area":null},{"id":"2406.04322","title":"DIRECT-3D: Learning Direct Text-to-3D Generation on Massive Noisy 3D Data","created":"2024-06-06","cited_by_count":15,"area":"diffusion"},{"id":"2403.08550","title":"CINA: Conditional Implicit Neural Atlas for Spatio-Temporal Representation of Fetal Brains","created":"2024-03-13","cited_by_count":14,"area":null},{"id":"2310.14184","title":"Partition Speeds Up Learning Implicit Neural Representations Based on Exponential-Increase Hypothesis","created":"2023-10-22","cited_by_count":13,"area":null},{"id":"2210.17415","title":"ProbNeRF: Uncertainty-Aware Inference of 3D Shapes from 2D Images","created":"2022-10-27","cited_by_count":12,"area":null},{"id":"2312.10531","title":"How to Train Neural Field Representations: A Comprehensive Study and Benchmark","created":"2023-12-16","cited_by_count":12,"area":null},{"id":"2406.17438","title":"Implicit-Zoo: A Large-Scale Dataset of Neural Implicit Functions for 2D Images and 3D Scenes","created":"2024-06-25","cited_by_count":12,"area":null},{"id":"2312.14124","title":"Neural Point Cloud Diffusion for Disentangled 3D Shape and Appearance Generation","created":"2023-12-21","cited_by_count":11,"area":"diffusion"},{"id":"2510.04021","title":"Fit Pixels, Get Labels: Meta-learned Implicit Networks for Image Segmentation","created":"2025-10-05","cited_by_count":11,"area":null},{"id":"2310.19464","title":"Generative Neural Fields by Mixtures of Neural Implicit Functions","created":"2023-10-30","cited_by_count":10,"area":null},{"id":"2505.14704","title":"Towards scalable surrogate models based on Neural Fields for large scale aerodynamic simulations","created":"2025-05-14","cited_by_count":10,"area":null},{"id":"2304.01834","title":"Neural Field Convolutions by Repeated Differentiation","created":"2023-04-04","cited_by_count":9,"area":null},{"id":"2306.04445","title":"Multi-modal Latent Diffusion","created":"2023-06-07","cited_by_count":9,"area":"diffusion"},{"id":"2309.09574","title":"Latent assimilation with implicit neural representations for unknown dynamics","created":"2023-09-18","cited_by_count":9,"area":null},{"id":"2403.14628","title":"Zero-Shot Multi-Object Scene Completion","created":"2024-03-21","cited_by_count":9,"area":null},{"id":"2405.12398","title":"ASMR: Activation-sharing Multi-resolution Coordinate Networks For Efficient Inference","created":"2024-05-20","cited_by_count":9,"area":null},{"id":"2408.02672","title":"Latent-INR: A Flexible Framework for Implicit Representations of Videos with Discriminative Semantics","created":"2024-08-05","cited_by_count":9,"area":null},{"id":"2412.00623","title":"A Lesson in Splats: Teacher-Guided Diffusion for 3D Gaussian Splats Generation with 2D Supervision","created":"2024-12-01","cited_by_count":9,"area":"diffusion"},{"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":"2310.01140","title":"Neural Processing of Tri-Plane Hybrid Neural Fields","created":"2023-10-02","cited_by_count":8,"area":null},{"id":"2311.13570","title":"WildFusion: Learning 3D-Aware Latent Diffusion Models in View Space","created":"2023-11-22","cited_by_count":8,"area":"diffusion"},{"id":"2512.14366","title":"Optimizing Rank for High-Fidelity Implicit Neural Representations","created":"2025-12-16","cited_by_count":8,"area":null},{"id":"2310.03745","title":"Generative Hyperelasticity with Physics-Informed Probabilistic Diffusion Fields","created":"2023-09-11","cited_by_count":7,"area":null},{"id":"2310.20679","title":"Latent Field Discovery In Interacting Dynamical Systems With Neural Fields","created":"2023-10-31","cited_by_count":7,"area":null},{"id":"2311.10318","title":"Nonparametric Teaching for Multiple Learners","created":"2023-11-17","cited_by_count":7,"area":null},{"id":"2311.17094","title":"In Search of a Data Transformation That Accelerates Neural Field Training","created":"2023-11-28","cited_by_count":7,"area":null},{"id":"2412.10153","title":"EVOS: Efficient Implicit Neural Training via EVOlutionary Selector","created":"2024-12-13","cited_by_count":7,"area":null},{"id":"2502.14401","title":"MedFuncta: A Unified Framework for Learning Efficient Medical Neural Fields","created":"2025-02-20","cited_by_count":7,"area":null},{"id":"2503.18123","title":"End-to-End Implicit Neural Representations for Classification","created":"2025-03-23","cited_by_count":7,"area":null},{"id":"2401.00816","title":"Glimpse: Generalized Locality for Scalable and Robust CT","created":"2024-01-01","cited_by_count":6,"area":null},{"id":"2404.07993","title":"Connecting NeRFs, Images, and Text","created":"2024-04-11","cited_by_count":6,"area":null},{"id":"2406.11840","title":"LLaNA: Large Language and NeRF Assistant","created":"2024-06-17","cited_by_count":6,"area":"mllm"},{"id":"2407.15355","title":"Attention Beats Linear for Fast Implicit Neural Representation Generation","created":"2024-07-22","cited_by_count":6,"area":null},{"id":"2407.17907","title":"Amortized Posterior Sampling with Diffusion Prior Distillation","created":"2024-07-25","cited_by_count":6,"area":"diffusion"},{"id":"2504.18591","title":"Geometry aware inference of steady state PDEs using Equivariant Neural Fields representations","created":"2025-04-24","cited_by_count":6,"area":null},{"id":"2509.10384","title":"Flow Straight and Fast in Hilbert Space: Functional Rectified Flow","created":"2025-09-12","cited_by_count":6,"area":"diffusion"},{"id":"2302.06223","title":"Variational Mixture of HyperGenerators for Learning Distributions Over Functions","created":"2023-02-13","cited_by_count":5,"area":null},{"id":"2312.13277","title":"Deep Learning on Object-centric 3D Neural Fields","created":"2023-12-20","cited_by_count":5,"area":null},{"id":"2405.00998","title":"Part-aware Shape Generation with Latent 3D Diffusion of Neural Voxel Fields","created":"2024-05-02","cited_by_count":5,"area":"diffusion"},{"id":"2409.19472","title":"Towards Croppable Implicit Neural Representations","created":"2024-09-28","cited_by_count":5,"area":null},{"id":"2504.02459","title":"A Physics-Informed Meta-Learning Framework for the Continuous Solution of Parametric PDEs on Arbitrary Geometries","created":"2025-04-03","cited_by_count":5,"area":null},{"id":"2506.01153","title":"Weight-Space Linear Recurrent Neural Networks","created":"2025-06-01","cited_by_count":5,"area":null},{"id":"2509.22615","title":"GaussianVision: Vision-Language Alignment from Compressed Image Representations using 2D Gaussian Splatting","created":"2025-09-26","cited_by_count":5,"area":null},{"id":"2511.12898","title":"Functional Mean Flow in Hilbert Space","created":"2025-11-17","cited_by_count":5,"area":"diffusion"},{"id":"2308.09290","title":"HyperLoRA for PDEs","created":"2023-08-18","cited_by_count":4,"area":null},{"id":"2309.15599","title":"OceanBench: The Sea Surface Height Edition","created":"2023-09-27","cited_by_count":4,"area":null},{"id":"2311.06059","title":"Improved Positional Encoding for Implicit Neural Representation based Compact Data Representation","created":"2023-11-10","cited_by_count":4,"area":null},{"id":"2504.12262","title":"SCENT: Robust Spatiotemporal Learning for Continuous Scientific Data via Scalable Conditioned Neural Fields","created":"2025-04-16","cited_by_count":4,"area":null},{"id":"2505.19867","title":"Deep Active Inference Agents for Delayed and Long-Horizon Environments","created":"2025-05-26","cited_by_count":4,"area":"wm"},{"id":"2506.12790","title":"PDEfuncta: Spectrally-Aware Neural Representation for PDE Solution Modeling","created":"2025-06-15","cited_by_count":4,"area":null},{"id":"2510.22491","title":"LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation","created":"2025-10-26","cited_by_count":4,"area":null},{"id":"2602.08058","title":"Picasso: Holistic Scene Reconstruction with Physics-Constrained Sampling","created":"2026-02-08","cited_by_count":4,"area":null},{"id":"2309.03320","title":"CoNeS: Conditional neural fields with shift modulation for multi-sequence MRI translation","created":"2023-09-06","cited_by_count":3,"area":null},{"id":"2311.12059","title":"Mesh Watermark Removal Attack and Mitigation: A Novel Perspective of Function Space","created":"2023-11-18","cited_by_count":3,"area":null},{"id":"2503.15156","title":"ARC: Anchored Representation Clouds for High-Resolution INR Classification","created":"2025-03-19","cited_by_count":3,"area":null},{"id":"2504.03313","title":"Steerable Anatomical Shape Synthesis with Implicit Neural Representations","created":"2025-04-04","cited_by_count":3,"area":null},{"id":"2506.09668","title":"CINeMA: Conditional Implicit Neural Multi-Modal Atlas for a Spatio-Temporal Representation of the Perinatal Brain","created":"2025-06-11","cited_by_count":3,"area":null},{"id":"2509.20098","title":"Incomplete Data, Complete Dynamics: A Diffusion Approach","created":"2025-09-24","cited_by_count":3,"area":null},{"id":"2305.01933","title":"An Exploration of Conditioning Methods in Graph Neural Networks","created":"2023-05-03","cited_by_count":2,"area":null}],"next_cursor":"100"}