{"list":"other","total":64,"rows":[{"id":"1801.03924","title":"The Unreasonable Effectiveness of Deep Features as a Perceptual Metric","created":"2018-01-11","cited_by_count":11177},{"id":"2308.04079","title":"3D Gaussian Splatting for Real-Time Radiance Field Rendering","created":"2023-08-08","cited_by_count":6226},{"id":"2201.05989","title":"Instant Neural Graphics Primitives with a Multiresolution Hash Encoding","created":"2022-01-16","cited_by_count":3723},{"id":"2111.12077","title":"Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields","created":"2021-11-23","cited_by_count":2032},{"id":"2103.13415","title":"Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields","created":"2021-03-24","cited_by_count":1964},{"id":"2112.05131","title":"Plenoxels: Radiance Fields without Neural Networks","created":"2021-12-09","cited_by_count":1613},{"id":"2203.09517","title":"TensoRF: Tensorial Radiance Fields","created":"2022-03-17","cited_by_count":1280},{"id":"2310.08528","title":"4D Gaussian Splatting for Real-Time Dynamic Scene Rendering","created":"2023-10-12","cited_by_count":1157},{"id":"1904.08405","title":"Event-based Vision: A Survey","created":"2019-04-17","cited_by_count":1016},{"id":"2103.14024","title":"PlenOctrees for Real-time Rendering of Neural Radiance Fields","created":"2021-03-25","cited_by_count":905},{"id":"2107.02791","title":"Depth-supervised NeRF: Fewer Views and Faster Training for Free","created":"2021-07-06","cited_by_count":735},{"id":"2103.13744","title":"KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs","created":"2021-03-25","cited_by_count":673},{"id":"2304.06706","title":"Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fields","created":"2023-04-13","cited_by_count":671},{"id":"2112.03907","title":"Ref-NeRF: Structured View-Dependent Appearance for Neural Radiance Fields","created":"2021-12-07","cited_by_count":575},{"id":"2103.10380","title":"FastNeRF: High-Fidelity Neural Rendering at 200FPS","created":"2021-03-18","cited_by_count":511},{"id":"2310.10642","title":"Real-time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splatting","created":"2023-10-16","cited_by_count":476},{"id":"2103.14645","title":"Baking Neural Radiance Fields for Real-Time View Synthesis","created":"2021-03-26","cited_by_count":468},{"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":"2312.06741","title":"Gaussian Splatting SLAM","created":"2023-12-11","cited_by_count":415},{"id":"1906.07165","title":"High Speed and High Dynamic Range Video with an Event Camera","created":"2019-06-15","cited_by_count":345},{"id":"2111.13679","title":"NeRF in the Dark: High Dynamic Range View Synthesis from Noisy Raw Images","created":"2021-11-26","cited_by_count":336},{"id":"2208.00277","title":"MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures","created":"2022-07-30","cited_by_count":311},{"id":"2309.16585","title":"Text-to-3D using Gaussian Splatting","created":"2023-09-28","cited_by_count":299},{"id":"2310.08529","title":"GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models","created":"2023-10-12","cited_by_count":255},{"id":"1802.06898","title":"EV-FlowNet: Self-Supervised Optical Flow Estimation for Event-based Cameras","created":"2018-02-19","cited_by_count":224},{"id":"2401.03890","title":"A Survey on 3D Gaussian Splatting","created":"2024-01-08","cited_by_count":224},{"id":"2302.14859","title":"BakedSDF: Meshing Neural SDFs for Real-Time View Synthesis","created":"2023-02-28","cited_by_count":221},{"id":"1803.07913","title":"HATS: Histograms of Averaged Time Surfaces for Robust Event-based Object Classification","created":"2018-03-21","cited_by_count":218},{"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":"1904.08245","title":"End-to-End Learning of Representations for Asynchronous Event-Based Data","created":"2019-04-17","cited_by_count":217},{"id":"2009.13436","title":"Learning to Detect Objects with a 1 Megapixel Event Camera","created":"2020-09-28","cited_by_count":186},{"id":"2111.14292","title":"Deblur-NeRF: Neural Radiance Fields from Blurry Images","created":"2021-11-29","cited_by_count":179},{"id":"1804.01306","title":"A Unifying Contrast Maximization Framework for Event Cameras, with Applications to Motion, Depth, and Optical Flow Estimation","created":"2018-04-04","cited_by_count":178},{"id":"2312.13763","title":"Align Your Gaussians: Text-to-4D with Dynamic 3D Gaussians and Composed Diffusion Models","created":"2023-12-21","cited_by_count":169},{"id":"2212.05598","title":"Recurrent Vision Transformers for Object Detection with Event Cameras","created":"2022-12-11","cited_by_count":159},{"id":"2108.10552","title":"E-RAFT: Dense Optical Flow from Event Cameras","created":"2021-08-24","cited_by_count":152},{"id":"2106.07286","title":"TimeLens: Event-based Video Frame Interpolation","created":"2021-06-14","cited_by_count":151},{"id":"2211.12254","title":"SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields","created":"2022-11-22","cited_by_count":144},{"id":"2112.04645","title":"BACON: Band-limited Coordinate Networks for Multiscale Scene Representation","created":"2021-12-09","cited_by_count":143},{"id":"1811.10180","title":"Bringing a Blurry Frame Alive at High Frame-Rate with an Event Camera","created":"2018-11-26","cited_by_count":141},{"id":"1807.09713","title":"Asynchronous, Photometric Feature Tracking using Events and Frames","created":"2018-07-25","cited_by_count":118},{"id":"2203.17191","title":"Time Lens++: Event-based Frame Interpolation with Parametric Non-linear Flow and Multi-scale Fusion","created":"2022-03-31","cited_by_count":111},{"id":"2007.15548","title":"Event-based Stereo Visual Odometry","created":"2020-07-30","cited_by_count":105},{"id":"2112.01041","title":"N-ImageNet: Towards Robust, Fine-Grained Object Recognition with Event Cameras","created":"2021-12-02","cited_by_count":92},{"id":"2204.07640","title":"Event-aided Direct Sparse Odometry","created":"2022-04-15","cited_by_count":92},{"id":"2206.11896","title":"EventNeRF: Neural Radiance Fields from a Single Colour Event Camera","created":"2022-06-23","cited_by_count":92},{"id":"2208.11300","title":"E-NeRF: Neural Radiance Fields from a Moving Event Camera","created":"2022-08-24","cited_by_count":70},{"id":"2207.10312","title":"AdaNeRF: Adaptive Sampling for Real-time Rendering of Neural Radiance Fields","created":"2022-07-21","cited_by_count":68},{"id":"1807.07429","title":"Semi-Dense 3D Reconstruction with a Stereo Event Camera","created":"2018-07-19","cited_by_count":67},{"id":"2206.12455","title":"Ev-NeRF: Event Based Neural Radiance Field","created":"2022-06-24","cited_by_count":59},{"id":"2405.20224","title":"EvaGaussians: Event Stream Assisted Gaussian Splatting from Blurry Images","created":"2024-05-29","cited_by_count":56},{"id":"1607.03468","title":"Event-based, 6-DOF Camera Tracking from Photometric Depth Maps","created":"2016-07-12","cited_by_count":54},{"id":"2309.08596","title":"Robust e-NeRF: NeRF from Sparse & Noisy Events under Non-Uniform Motion","created":"2023-09-15","cited_by_count":44},{"id":"2108.07329","title":"TUM-VIE: The TUM Stereo Visual-Inertial Event Dataset","created":"2021-08-16","cited_by_count":41},{"id":"2406.14978","title":"E2GS: Event Enhanced Gaussian Splatting","created":"2024-06-21","cited_by_count":26},{"id":"2311.17286","title":"LEOD: Label-Efficient Object Detection for Event Cameras","created":"2023-11-29","cited_by_count":24},{"id":"2406.02972","title":"Event3DGS: Event-Based 3D Gaussian Splatting for High-Speed Robot Egomotion","created":"2024-06-05","cited_by_count":22},{"id":"2405.14959","title":"EvGGS: A Collaborative Learning Framework for Event-based Generalizable Gaussian Splatting","created":"2024-05-23","cited_by_count":20},{"id":"2407.11343","title":"Ev-GS: Event-based Gaussian splatting for Efficient and Accurate Radiance Field Rendering","created":"2024-07-16","cited_by_count":18},{"id":"2105.12151","title":"AutoReCon: Neural Architecture Search-based Reconstruction for Data-free Compression","created":"2021-05-25","cited_by_count":17},{"id":"2404.07950","title":"Reinforcement Learning with Generalizable Gaussian Splatting","created":"2024-03-18","cited_by_count":13},{"id":"2407.13520","title":"EaDeblur-GS: Event assisted 3D Deblur Reconstruction with Gaussian Splatting","created":"2024-07-18","cited_by_count":12},{"id":"2409.13392","title":"Elite-EvGS: Learning Event-based 3D Gaussian Splatting by Distilling Event-to-Video Priors","created":"2024-09-20","cited_by_count":10},{"id":"2307.12558","title":"Revisiting Event-based Video Frame Interpolation","created":"2023-07-24","cited_by_count":3}],"next_cursor":null}