NeRF in the Dark: High Dynamic Range View Synthesis from Noisy Raw Images
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Jonathan T. Barron | Peter Hedman | Ricardo Martin-Brualla | Ben Mildenhall | Pratul P. Srinivasan | Pratul Srinivasan | J. Barron | Peter Hedman | Ricardo Martin-Brualla | B. Mildenhall
[1] Mitesh M. Khapra,et al. Unsupervised Deep Video Denoising , 2020, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
[2] Jan-Michael Frahm,et al. Structure-from-Motion Revisited , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[3] Jonathan T. Barron,et al. NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections , 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[4] Michael Bosse,et al. Unstructured lumigraph rendering , 2001, SIGGRAPH.
[5] Pratul P. Srinivasan,et al. NeRF , 2020, ECCV.
[6] G. Drettakis,et al. Point‐Based Neural Rendering with Per‐View Optimization , 2021, Comput. Graph. Forum.
[7] Jonathan T. Barron,et al. Burst Denoising with Kernel Prediction Networks , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[8] Graham Fyffe,et al. Stereo Magnification: Learning View Synthesis using Multiplane Images , 2018, ArXiv.
[9] Alessandro Foi,et al. Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering , 2007, IEEE Transactions on Image Processing.
[10] Pat Hanrahan,et al. A realistic camera model for computer graphics , 1995, SIGGRAPH.
[11] Jonathan T. Barron,et al. Burst photography for high dynamic range and low-light imaging on mobile cameras , 2016, ACM Trans. Graph..
[12] Jitendra Malik,et al. Recovering high dynamic range radiance maps from photographs , 1997, SIGGRAPH '08.
[13] Deva Ramanan,et al. Depth-supervised NeRF: Fewer Views and Faster Training for Free , 2021, ArXiv.
[14] Jan-Michael Frahm,et al. Deep blending for free-viewpoint image-based rendering , 2018, ACM Trans. Graph..
[15] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[16] Stefan Leutenegger,et al. In-Place Scene Labelling and Understanding with Implicit Scene Representation , 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
[17] Jonathan T. Barron,et al. Fast bilateral-space stereo for synthetic defocus , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[18] Gernot Riegler,et al. Free View Synthesis , 2020, ECCV.
[19] Florian Jug,et al. Noise2Void - Learning Denoising From Single Noisy Images , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[20] Marc Stamminger,et al. ADOP: Approximate Differentiable One-Pixel Point Rendering , 2021, ArXiv.
[21] Minsu Cho,et al. Self-Calibrating Neural Radiance Fields , 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
[22] Lei Zhang,et al. Image demosaicing: a systematic survey , 2008, Electronic Imaging.
[23] Yair Movshovitz-Attias,et al. Synthetic depth-of-field with a single-camera mobile phone , 2018, ACM Trans. Graph..
[24] Jiwen Lu,et al. NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo , 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
[25] Antonio Torralba,et al. BARF: Bundle-Adjusting Neural Radiance Fields , 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
[26] Minh N. Do,et al. Seeing Motion in the Dark , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[27] Jia Xu,et al. Learning to See in the Dark , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[28] Karen O. Egiazarian,et al. Practical Poissonian-Gaussian Noise Modeling and Fitting for Single-Image Raw-Data , 2008, IEEE Transactions on Image Processing.
[29] J. Tompkin,et al. TöRF: Time-of-Flight Radiance Fields for Dynamic Scene View Synthesis , 2021, NeurIPS.
[30] Ravi Ramamoorthi,et al. Deep high dynamic range imaging of dynamic scenes , 2017, ACM Trans. Graph..
[31] Gernot Riegler,et al. Stable View Synthesis , 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[32] John Flynn,et al. Deep Stereo: Learning to Predict New Views from the World's Imagery , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[33] Jonathan T. Barron,et al. Deep bilateral learning for real-time image enhancement , 2017, ACM Trans. Graph..
[34] Jonathan T. Barron,et al. Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields , 2021, ArXiv.
[35] Gabriel Eilertsen,et al. HDR image reconstruction from a single exposure using deep CNNs , 2017, ACM Trans. Graph..
[36] You Zhang,et al. Synthetic defocus and look-ahead autofocus for casual videography , 2019, ACM Trans. Graph..
[37] Huanjing Yue,et al. Supervised Raw Video Denoising With a Benchmark Dataset on Dynamic Scenes , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[38] Hao He,et al. Exposure , 2017, ACM Trans. Graph..
[39] Victor Adrian Prisacariu,et al. NeRF-: Neural Radiance Fields Without Known Camera Parameters , 2021, ArXiv.
[40] Lei Zhang,et al. Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising , 2016, IEEE Transactions on Image Processing.
[41] Jaakko Lehtinen,et al. Noise2Noise: Learning Image Restoration without Clean Data , 2018, ICML.
[42] Loïc Royer,et al. Noise2Self: Blind Denoising by Self-Supervision , 2019, ICML.
[43] Stefan Roth,et al. Benchmarking Denoising Algorithms with Real Photographs , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[44] Jonathan T. Barron,et al. Unprocessing Images for Learned Raw Denoising , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[45] Robert L. Cook,et al. Distributed ray tracing , 1984, SIGGRAPH.
[46] Jaakko Lehtinen,et al. High-Quality Self-Supervised Deep Image Denoising , 2019, NeurIPS.
[47] Jean-Michel Morel,et al. Model-Blind Video Denoising via Frame-To-Frame Training , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[48] Jonathan T. Barron,et al. Aperture Supervision for Monocular Depth Estimation , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.