{"list":"other","total":54,"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":"2103.13415","title":"Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields","created":"2021-03-24","cited_by_count":1964},{"id":"2012.02190","title":"pixelNeRF: Neural Radiance Fields from One or Few Images","created":"2020-12-03","cited_by_count":1584},{"id":"2008.02268","title":"NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections","created":"2020-08-05","cited_by_count":1232},{"id":"1904.08405","title":"Event-based Vision: A Survey","created":"2019-04-17","cited_by_count":1016},{"id":"2102.02808","title":"Multi-Stage Progressive Image Restoration","created":"2021-02-04","cited_by_count":816},{"id":"2011.13084","title":"Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes","created":"2020-11-26","cited_by_count":751},{"id":"2107.02791","title":"Depth-supervised NeRF: Fewer Views and Faster Training for Free","created":"2021-07-06","cited_by_count":735},{"id":"2104.06405","title":"BARF: Bundle-Adjusting Neural Radiance Fields","created":"2021-04-13","cited_by_count":642},{"id":"2112.00724","title":"RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs","created":"2021-12-01","cited_by_count":615},{"id":"2103.10380","title":"FastNeRF: High-Fidelity Neural Rendering at 200FPS","created":"2021-03-18","cited_by_count":511},{"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":"1802.01770","title":"Scale-recurrent Network for Deep Image Deblurring","created":"2018-02-06","cited_by_count":333},{"id":"1812.08156","title":"Unsupervised Event-based Learning of Optical Flow, Depth, and Egomotion","created":"2018-12-19","cited_by_count":307},{"id":"2212.07388","title":"NoPe-NeRF: Optimising Neural Radiance Field with No Pose Prior","created":"2022-12-14","cited_by_count":235},{"id":"2004.01860","title":"Deblurring by Realistic Blurring","created":"2020-04-04","cited_by_count":188},{"id":"2111.14292","title":"Deblur-NeRF: Neural Radiance Fields from Blurry Images","created":"2021-11-29","cited_by_count":179},{"id":"2108.10552","title":"E-RAFT: Dense Optical Flow from Event Cameras","created":"2021-08-24","cited_by_count":152},{"id":"1707.08347","title":"RankIQA: Learning from Rankings for No-reference Image Quality Assessment","created":"2017-07-26","cited_by_count":151},{"id":"2004.05508","title":"MetaIQA: Deep Meta-learning for No-Reference Image Quality Assessment","created":"2020-04-11","cited_by_count":144},{"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":"2011.00178","title":"Learning Open Set Network with Discriminative Reciprocal Points","created":"2020-10-31","cited_by_count":115},{"id":"2111.14451","title":"HDR-NeRF: High Dynamic Range Neural Radiance Fields","created":"2021-11-29","cited_by_count":114},{"id":"2106.01862","title":"Self-Supervised Learning of Event-Based Optical Flow with Spiking Neural Networks","created":"2021-06-03","cited_by_count":99},{"id":"2206.11896","title":"EventNeRF: Neural Radiance Fields from a Single Colour Event Camera","created":"2022-06-23","cited_by_count":92},{"id":"2207.10022","title":"Secrets of Event-Based Optical Flow","created":"2022-07-20","cited_by_count":92},{"id":"2010.08350","title":"Learning Monocular Dense Depth from Events","created":"2020-10-16","cited_by_count":85},{"id":"2109.09052","title":"Object Tracking by Jointly Exploiting Frame and Event Domain","created":"2021-09-19","cited_by_count":84},{"id":"2004.05794","title":"Learning Event-Based Motion Deblurring","created":"2020-04-13","cited_by_count":81},{"id":"2211.12853","title":"BAD-NeRF: Bundle Adjusted Deblur Neural Radiance Fields","created":"2022-11-23","cited_by_count":80},{"id":"2208.11300","title":"E-NeRF: Neural Radiance Fields from a Moving Event Camera","created":"2022-08-24","cited_by_count":70},{"id":"2211.12046","title":"DP-NeRF: Deblurred Neural Radiance Field with Physical Scene Priors","created":"2022-11-22","cited_by_count":70},{"id":"1908.11505","title":"EventCap: Monocular 3D Capture of High-Speed Human Motions using an Event Camera","created":"2019-08-30","cited_by_count":65},{"id":"2206.12455","title":"Ev-NeRF: Event Based Neural Radiance Field","created":"2022-06-24","cited_by_count":59},{"id":"2211.11505","title":"Local-to-Global Registration for Bundle-Adjusting Neural Radiance Fields","created":"2022-11-21","cited_by_count":58},{"id":"2405.20224","title":"EvaGaussians: Event Stream Assisted Gaussian Splatting from Blurry Images","created":"2024-05-29","cited_by_count":56},{"id":"1811.09998","title":"Low-resolution Face Recognition in the Wild via Selective Knowledge Distillation","created":"2018-11-25","cited_by_count":55},{"id":"2109.13695","title":"Motion Deblurring with Real Events","created":"2021-09-28","cited_by_count":52},{"id":"1812.10066","title":"Selectivity or Invariance: Boundary-aware Salient Object Detection","created":"2018-12-25","cited_by_count":48},{"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":"1708.04208","title":"Learning Blind Motion Deblurring","created":"2017-08-14","cited_by_count":36},{"id":"2004.00347","title":"Single Image Optical Flow Estimation with an Event Camera","created":"2020-04-01","cited_by_count":34},{"id":"2002.10686","title":"Globally Optimal Contrast Maximisation for Event-based Motion Estimation","created":"2020-02-25","cited_by_count":33},{"id":"2309.08416","title":"Deformable Neural Radiance Fields using RGB and Event Cameras","created":"2023-09-15","cited_by_count":31},{"id":"2403.19780","title":"Mitigating Motion Blur in Neural Radiance Fields with Events and Frames","created":"2024-03-28","cited_by_count":31},{"id":"2106.06887","title":"The Spatio-Temporal Poisson Point Process: A Simple Model for the Alignment of Event Camera Data","created":"2021-06-13","cited_by_count":27},{"id":"2406.14978","title":"E2GS: Event Enhanced Gaussian Splatting","created":"2024-06-21","cited_by_count":26},{"id":"1811.11135","title":"Real-time high speed motion prediction using fast aperture-robust event-driven visual flow","created":"2018-11-27","cited_by_count":24},{"id":"2103.05955","title":"Spatiotemporal Registration for Event-based Visual Odometry","created":"2021-03-10","cited_by_count":21},{"id":"2407.02174","title":"BeNeRF: Neural Radiance Fields from a Single Blurry Image and Event Stream","created":"2024-07-02","cited_by_count":15},{"id":"2407.13520","title":"EaDeblur-GS: Event assisted 3D Deblur Reconstruction with Gaussian Splatting","created":"2024-07-18","cited_by_count":12}],"next_cursor":null}