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We introduce a method for using event camera data in novel view synthesis via Gaussian Splatting.
Demosaicing: Image reconstruction from color CCD samples
Ron Kimmel · 1999
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EWA volume splatting
M. Zwicker, H. Pfister, J. van Baar, and M. Gross · 2001
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Perceptual assessment of demosaicing algorithm performance
Philippe Longere, Xuemei Zhang, Peter B Delahunt, and David H Brainard · 2002
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Multiscale Structural Similarity for Image Quality Assessment
Z. Wang, E.P. Simoncelli, and A.C. Bovik · 2003
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High-quality linear interpolation for demosaicing of bayer-patterned color images
Henrique S Malvar, Li-wei He, and Ross Cutler · 2004
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Demosaicing by successive approximation
Xin Li · 2005
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Image demosaicing: A systematic survey
Xin Li, Bahadir Gunturk, and Lei Zhang · 2008
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Accurate detection of demosaicing regularity for digital image forensics
Hong Cao and Alex C Kot · 2009
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Event-based visual flow
Ryad Benosman, Charles Clercq, Xavier Lagorce, Sio-Hoi Ieng, and Chiara Bartolozzi · 2013
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Real-time 3d reconstruction and 6-dof tracking with an event camera
Hanme Kim, Stefan Leutenegger, and Andrew J Davison · 2016
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Evo: A geometric approach to event-based 6-dof parallel tracking and mapping in real time
Henri Rebecq, Timo Horstschäfer, Guillermo Gallego, and Davide Scaramuzza · 2016
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Event-based, 6-dof camera tracking from photometric depth maps
Guillermo Gallego, Jon EA Lund, Elias Mueggler, Henri Rebecq, Tobi Delbruck, and Davide Scaramuzza · 2017
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A spiking neural network model of 3d perception for event-based neuromorphic stereo vision systems
Marc Osswald, Sio-Hoi Ieng, Ryad Benosman, and Giacomo Indiveri · 2017
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A unifying contrast maximization framework for event cameras, with applications to motion, depth, and optical flow estimation
Guillermo Gallego, Henri Rebecq, and Davide Scaramuzza · 2018
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Asynchronous, photometric feature tracking using events and frames
Daniel Gehrig, Henri Rebecq, Guillermo Gallego, and Davide Scaramuzza · 2018
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ESIM: an open event camera simulator
Henri Rebecq, Daniel Gehrig, and Davide Scaramuzza · 2018
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HATS: Histograms of averaged time surfaces for robust event-based object classification
Amos Sironi, Manuele Brambilla, Nicolas Bourdis, Xavier Lagorce, and Ryad Benosman · 2018
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The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Zhang, Phillip Isola, Alexei A. Efros, Eli Shechtman, and Oliver Wang · 2018
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Semi-Dense 3D Reconstruction with a Stereo Event Camera
Yi Zhou, Guillermo Gallego, Henri Rebecq, Laurent Kneip, Hongdong Li, and Davide Scaramuzza · 2018
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Ev-flownet: Self-supervised optical flow estimation for event-based cameras
Alex Zihao Zhu and Liangzhe Yuan · 2018
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End-to-end learning of representations for asynchronous event-based data
Daniel Gehrig, Antonio Loquercio, Konstantinos G Derpanis, and Davide Scaramuzza · 2019
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Bringing a blurry frame alive at high frame-rate with an event camera
Liyuan Pan, Cedric Scheerlinck, Xin Yu, Richard Hartley, Miaomiao Liu, and Yuchao Dai · 2019
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High speed and high dynamic range video with an event camera
Henri Rebecq, René Ranftl, Vladlen Koltun, and Davide Scaramuzza · 2019
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Dynamic obstacle avoidance for quadrotors with event cameras
Davide Falanga, Kevin Kleber, and Davide Scaramuzza · 2020
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Eklt: Asynchronous photometric feature tracking using events and frames
Daniel Gehrig, Henri Rebecq, Guillermo Gallego, and Davide Scaramuzza · 2020
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Learning Event-Driven Video Deblurring and Interpolation
Songnan Lin, Jiawei Zhang, Jinshan Pan, Zhe Jiang, Dongqing Zou, Yongtian Wang, Jing Chen, and Jimmy Ren · 2020
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Learning to detect objects with a 1 megapixel event camera
Etienne Perot, Pierre De Tournemire, Davide Nitti, Jonathan Masci, and Amos Sironi · 2020
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Mip-NeRF: A multiscale representation for anti-aliasing neural radiance fields
Jonathan T. Barron, Ben Mildenhall, Matthew Tancik, Peter Hedman, Ricardo Martin-Brualla, and Pratul P. Srinivasan · 2021
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FastNeRF: High-Fidelity Neural Rendering at 200FPS
Stephan J. Garbin, Marek Kowalski, Matthew Johnson, Jamie Shotton, and Julien Valentin · 2021
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E-raft: Dense optical flow from event cameras
Mathias Gehrig, Mario Millhäusler, Daniel Gehrig, and Davide Scaramuzza · 2021
Cited alongside, same era.
Baking neural radiance fields for real-time view synthesis
Peter Hedman, Pratul P. Srinivasan, Ben Mildenhall, Jonathan T. Barron, and Paul Debevec · 2021
Cited alongside, same era.
N-imagenet: Towards robust, fine-grained object recognition with event cameras
Plenoxels: Radiance fields without neural networks
Sara Fridovich-Keil and Alex Yu, Matthew Tancik, Qinhong Chen, Benjamin Recht, and Angjoo Kanazawa · 2022
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Time Lens++: Event-Based Frame Interpolation With Parametric Non-Linear Flow and Multi-Scale Fusion
Stepan Tulyakov, Alfredo Bochicchio, Daniel Gehrig, Stamatios Georgoulis, Yuanyou Li, and Davide Scaramuzza · 2022
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Ref-NeRF: Structured view-dependent appearance for neural radiance fields
Dor Verbin, Peter Hedman, Ben Mildenhall, Todd Zickler, Jonathan T. Barron, and Pratul P. Srinivasan · 2022
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Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fields
Jonathan T. Barron, Ben Mildenhall, Dor Verbin, Pratul P. Srinivasan, and Peter Hedman · 2023
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Recurrent vision transformers for object detection with event cameras
Mathias Gehrig and Davide Scaramuzza · 2023
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Junho Kim, Jaehyeok Bae, Gangin Park, Dongsu Zhang, and Young Min Kim · 2021
Cited alongside, same era.
TUM-VIE: The TUM Stereo Visual-Inertial Event Dataset
Simon Klenk, Jason Chui, Nikolaus Demmel, and Daniel Cremers · 2021
Cited alongside, same era.
Pulsar: Efficient Sphere-Based Neural Rendering
Christoph Lassner and Michael Zollhofer · 2021
Cited alongside, same era.
NeRF: representing scenes as neural radiance fields for view synthesis
Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik, Jonathan T. Barron, Ravi Ramamoorthi, and Ren Ng · 2021
Cited alongside, same era.
KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs
Christian Reiser, Songyou Peng, Yiyi Liao, and Andreas Geiger · 2021
Cited alongside, same era.
Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes
Towaki Takikawa, Joey Litalien, Kangxue Yin, Karsten Kreis, Charles Loop, Derek Nowrouzezahrai, Alec Jacobson, Morgan McGuire, and Sanja Fidler · 2021
Cited alongside, same era.
Time lens: Event-based video frame interpolation
Stepan Tulyakov, Daniel Gehrig, Stamatios Georgoulis, Julius Erbach, Mathias Gehrig, Yuanyou Li, and Davide Scaramuzza · 2021
Cited alongside, same era.
Inwoo Hwang, Junho Kim, and Young Min Kim · 2023
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3D Gaussian Splatting for Real-Time Radiance Field Rendering
Bernhard Kerbl, Georgios Kopanas, Thomas Leimkühler, and George Drettakis · 2023
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E-nerf: Neural radiance fields from a moving event camera
Simon Klenk, Lukas Koestler, Davide Scaramuzza, and Daniel Cremers · 2023
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Align your gaussians: Text-to-4d with dynamic 3d gaussians and composed diffusion models
Huan Ling, Seung Wook Kim, Antonio Torralba, Sanja Fidler, and Karsten Kreis · 2023
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Robust e-NeRF: NeRF from Sparse & Noisy Events under Non-Uniform Motion, 2023
Weng Fei Low and Gim Hee Lee · 2023
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Hidenobu Matsuki, Riku Murai, Paul HJ Kelly, and Andrew J Davison · 2023
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SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting With Neural Radiance Fields
Ashkan Mirzaei, Tristan Aumentado-Armstrong, Konstantinos G. Derpanis, Jonathan Kelly, Marcus A. Brubaker, Igor Gilitschenski, and Alex Levinshtein · 2023
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MERF: Memory-efficient radiance fields for real-time view synthesis in unbounded scenes
Christian Reiser, Richard Szeliski, Dor Verbin, Pratul P. Srinivasan, Ben Mildenhall, Andreas Geiger, Jonathan T. Barron, and Peter Hedman · 2023
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EventNeRF: Neural radiance fields from a single colour event camera
Viktor Rudnev, Mohamed Elgharib, Christian Theobalt, and Vladislav Golyanik · 2023
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BakedSDF: Meshing Neural SDFs for Real-Time View Synthesis
Lior Yariv, Peter Hedman, Christian Reiser, Dor Verbin, Pratul P Srinivasan, Richard Szeliski, Jonathan T Barron, and Ben Mildenhall · 2023
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A survey on 3d gaussian splatting
Guikun Chen and Wenguan Wang · 2024
Closest in time.
E2gs: Event enhanced gaussian splatting
Hiroyuki Deguchi, Mana Masuda, Takuya Nakabayashi, and Hideo Saito · 2024
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Evggs: A collaborative learning framework for event-based generalizable gaussian splatting
Jiaxu Wang, Junhao He, Ziyi Zhang, Mingyuan Sun, Jingkai Sun, and Renjing Xu · 2024
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Eadeblur-gs: Event assisted 3d deblur reconstruction with gaussian splatting
Yuchen Weng, Zhengwen Shen, Ruofan Chen, Qi Wang, and Jun Wang · 2024
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Ev-gs: Event-based gaussian splatting for efficient and accurate radiance field rendering
Jingqian Wu, Shuo Zhu, Chutian Wang, and Edmund Y Lam · 2024
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Event3dgs: Event-based 3d gaussian splatting for high-speed robot egomotion
Tianyi Xiong, Jiayi Wu, Botao He, Cornelia Fermuller, Yiannis Aloimonos, Heng Huang, and Christopher Metzler · 2024
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Real-time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splatting
Zeyu Yang, Hongye Yang, Zijie Pan, and Li Zhang · 2024
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Gaussiandreamer: Fast generation from text to 3d gaussians by bridging 2d and 3d diffusion models
Taoran Yi, Jiemin Fang, Junjie Wang, Guanjun Wu, Lingxi Xie, Xiaopeng Zhang, Wenyu Liu, Qi Tian, and Xinggang Wang · 2024
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Evagaussians: Event stream assisted gaussian splatting from blurry images
Wangbo Yu, Chaoran Feng, Jiye Tang, Xu Jia, Li Yuan, and Yonghong Tian · 2024
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Elite-evgs: Learning event-based 3d gaussian splatting by distilling event-to-video priors
Zixin Zhang, Kanghao Chen, and Lin Wang · 2024
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