{"list":"other","total":55,"rows":[{"id":"1412.6980","title":"Adam: A Method for Stochastic Optimization","created":"2014-12-22","cited_by_count":37240},{"id":"2308.04079","title":"3D Gaussian Splatting for Real-Time Radiance Field Rendering","created":"2023-08-08","cited_by_count":6226},{"id":"1711.00937","title":"Neural Discrete Representation Learning","created":"2017-11-02","cited_by_count":4712},{"id":"2201.05989","title":"Instant Neural Graphics Primitives with a Multiresolution Hash Encoding","created":"2022-01-16","cited_by_count":3723},{"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":"2111.12077","title":"Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields","created":"2021-11-23","cited_by_count":2032},{"id":"1806.08734","title":"On the Spectral Bias of Neural Networks","created":"2018-06-22","cited_by_count":1341},{"id":"2203.09517","title":"TensoRF: Tensorial Radiance Fields","created":"2022-03-17","cited_by_count":1280},{"id":"2112.07945","title":"Efficient Geometry-aware 3D Generative Adversarial Networks","created":"2021-12-15","cited_by_count":1205},{"id":"1812.02822","title":"Learning Implicit Fields for Generative Shape Modeling","created":"2018-12-06","cited_by_count":1060},{"id":"2111.11215","title":"Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstruction","created":"2021-11-22","cited_by_count":964},{"id":"2007.11571","title":"Neural Sparse Voxel Fields","created":"2020-07-22","cited_by_count":959},{"id":"2103.14024","title":"PlenOctrees for Real-time Rendering of Neural Radiance Fields","created":"2021-03-25","cited_by_count":905},{"id":"1906.01618","title":"Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations","created":"2019-06-04","cited_by_count":864},{"id":"2003.04618","title":"Convolutional Occupancy Networks","created":"2020-03-10","cited_by_count":761},{"id":"2301.10241","title":"K-Planes: Explicit Radiance Fields in Space, Time, and Appearance","created":"2023-01-24","cited_by_count":746},{"id":"2312.00109","title":"Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering","created":"2023-11-30","cited_by_count":695},{"id":"2103.13744","title":"KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs","created":"2021-03-25","cited_by_count":673},{"id":"2012.09161","title":"Learning Continuous Image Representation with Local Implicit Image Function","created":"2020-12-16","cited_by_count":552},{"id":"2201.08845","title":"Point-NeRF: Point-based Neural Radiance Fields","created":"2022-01-21","cited_by_count":503},{"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":"1812.01024","title":"DeepVoxels: Learning Persistent 3D Feature Embeddings","created":"2018-12-03","cited_by_count":405},{"id":"2003.08981","title":"Local Implicit Grid Representations for 3D Scenes","created":"2020-03-19","cited_by_count":373},{"id":"2003.01456","title":"Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion","created":"2020-03-03","cited_by_count":343},{"id":"2003.10983","title":"Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction","created":"2020-03-24","cited_by_count":321},{"id":"2211.16677","title":"3D Neural Field Generation using Triplane Diffusion","created":"2022-11-30","cited_by_count":274},{"id":"2312.09147","title":"Triplane Meets Gaussian Splatting: Fast and Generalizable Single-View 3D Reconstruction with Transformers","created":"2023-12-14","cited_by_count":258},{"id":"2110.13903","title":"NeRV: Neural Representations for Videos","created":"2021-10-26","cited_by_count":256},{"id":"2301.05187","title":"WIRE: Wavelet Implicit Neural Representations","created":"2023-01-05","cited_by_count":220},{"id":"1905.12173","title":"On the Inductive Bias of Neural Tangent Kernels","created":"2019-05-29","cited_by_count":177},{"id":"2112.04645","title":"BACON: Band-limited Coordinate Networks for Multiscale Scene Representation","created":"2021-12-09","cited_by_count":143},{"id":"2111.15135","title":"Beyond Periodicity: Towards a Unifying Framework for Activations in Coordinate-MLPs","created":"2021-11-30","cited_by_count":135},{"id":"2112.01917","title":"A Structured Dictionary Perspective on Implicit Neural Representations","created":"2021-12-03","cited_by_count":100},{"id":"2403.08551","title":"GaussianImage: 1000 FPS Image Representation and Compression by 2D Gaussian Splatting","created":"2024-03-13","cited_by_count":99},{"id":"2305.04966","title":"NerfAcc: Efficient Sampling Accelerates NeRFs","created":"2023-05-08","cited_by_count":90},{"id":"2312.02434","title":"FINER: Flexible spectral-bias tuning in Implicit NEural Representation by Variable-periodic Activation Functions","created":"2023-12-05","cited_by_count":78},{"id":"2105.02788","title":"ACORN: Adaptive Coordinate Networks for Neural Scene Representation","created":"2021-05-06","cited_by_count":65},{"id":"2309.15426","title":"NeuRBF: A Neural Fields Representation with Adaptive Radial Basis Functions","created":"2023-09-27","cited_by_count":65},{"id":"2006.13026","title":"Deep Polynomial Neural Networks","created":"2020-06-20","cited_by_count":63},{"id":"2104.09125","title":"SAPE: Spatially-Adaptive Progressive Encoding for Neural Optimization","created":"2021-04-19","cited_by_count":59},{"id":"2302.01226","title":"Factor Fields: A Unified Framework for Neural Fields and Beyond","created":"2023-02-02","cited_by_count":58},{"id":"2212.09069","title":"Masked Wavelet Representation for Compact Neural Radiance Fields","created":"2022-12-18","cited_by_count":57},{"id":"2203.14048","title":"Learning Deep Implicit Functions for 3D Shapes with Dynamic Code Clouds","created":"2022-03-26","cited_by_count":42},{"id":"2401.07402","title":"Improved Implicit Neural Representation with Fourier Reparameterized Training","created":"2024-01-15","cited_by_count":36},{"id":"2211.07871","title":"DINER: Disorder-Invariant Implicit Neural Representation","created":"2022-11-15","cited_by_count":30},{"id":"2212.01735","title":"Neural Fourier Filter Bank","created":"2022-12-04","cited_by_count":29},{"id":"2206.00746","title":"Residual Multiplicative Filter Networks for Multiscale Reconstruction","created":"2022-06-01","cited_by_count":25},{"id":"2302.04862","title":"Polynomial Neural Fields for Subband Decomposition and Manipulation","created":"2023-02-09","cited_by_count":22},{"id":"2106.01553","title":"Spline Positional Encoding for Learning 3D Implicit Signed Distance Fields","created":"2021-06-03","cited_by_count":21},{"id":"2307.11086","title":"PAPR: Proximity Attention Point Rendering","created":"2023-07-20","cited_by_count":16},{"id":"2312.17018","title":"Learning Spatially Collaged Fourier Bases for Implicit Neural Representation","created":"2023-12-28","cited_by_count":11},{"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}],"next_cursor":null}