ADOP: Approximate Differentiable One-Pixel Point Rendering

13 October 2021

Darius Ruckert

Papers citing "ADOP: Approximate Differentiable One-Pixel Point Rendering"

50 / 62 papers shown

Title
Block-NeRF: Scalable Large Scene Neural View Synthesis Matthew Tancik Vincent Casser Xinchen Yan Sabeek Pradhan B. Mildenhall Pratul P. Srinivasan Jonathan T. Barron Henrik Kretzschmar AI4CE 92 821 0 10 Feb 2022
HDR-NeRF: High Dynamic Range Neural Radiance Fields Xin Huang Qi Zhang Feng Ying Hongdong Li Xuan Wang Qing Wang 102 132 0 29 Nov 2021
NeRF in the Dark: High Dynamic Range View Synthesis from Noisy Raw Images B. Mildenhall Peter Hedman Ricardo Martín Brualla Pratul P. Srinivasan Jonathan T. Barron 124 388 0 26 Nov 2021
Point-Based Neural Rendering with Per-View Optimization Georgios Kopanas Julien Philip Thomas Leimkuhler G. Drettakis 76 208 0 06 Sep 2021
Self-Calibrating Neural Radiance Fields Yoonwoo Jeong Seokjun Ahn Chris Choy Anima Anandkumar Minsu Cho Jaesik Park 71 241 0 31 Aug 2021
Rendering Point Clouds with Compute Shaders and Vertex Order Optimization Markus Schütz Bernhard Kerbl Michael Wimmer 3DPC 27 51 0 15 Apr 2021
BARF: Bundle-Adjusting Neural Radiance Fields Chen-Hsuan Lin Wei-Chiu Ma Antonio Torralba Simon Lucey 128 723 0 13 Apr 2021
pixelNeRF: Neural Radiance Fields from One or Few Images Alex Yu Vickie Ye Matthew Tancik Angjoo Kanazawa 173 1,737 0 03 Dec 2020
Stable View Synthesis Gernot Riegler V. Koltun 95 215 0 14 Nov 2020
NeRF++: Analyzing and Improving Neural Radiance Fields Kai Zhang Gernot Riegler Noah Snavely V. Koltun 88 1,041 0 15 Oct 2020
Novel View Synthesis from Single Images via Point Cloud Transformation Hoàng-Ân Lê Thomas Mensink P. Das Theo Gevers 3DPC 86 14 0 17 Sep 2020
Free View Synthesis Gernot Riegler V. Koltun 69 357 0 12 Aug 2020
NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections Ricardo Martín Brualla Noha Radwan Mehdi S. M. Sajjadi Jonathan T. Barron Alexey Dosovitskiy Daniel Duckworth 115 1,491 0 05 Aug 2020
Accelerating 3D Deep Learning with PyTorch3D Nikhila Ravi Jeremy Reizenstein David Novotny Taylor Gordon Wan-Yen Lo Justin Johnson Georgia Gkioxari 3DPC 113 921 0 16 Jul 2020
DRWR: A Differentiable Renderer without Rendering for Unsupervised 3D Structure Learning from Silhouette Images Zhizhong Han Chao Chen Yu-Shen Liu Matthias Zwicker 66 59 0 12 Jul 2020
Differentiable Rendering: A Survey Hiroharu Kato D. Beker Mihai Morariu Takahiro Ando Toru Matsuoka Wadim Kehl Adrien Gaidon 3DH 3DV 52 175 0 22 Jun 2020
Implicit Neural Representations with Periodic Activation Functions Vincent Sitzmann Julien N. P. Martel Alexander W. Bergman David B. Lindell Gordon Wetzstein AI4TS 137 2,548 0 17 Jun 2020
SurfelGAN: Synthesizing Realistic Sensor Data for Autonomous Driving Zhenpei Yang Yuning Chai Dragomir Anguelov Yin Zhou Pei Sun D. Erhan Sean M. Rafferty Henrik Kretzschmar 54 101 0 08 May 2020
Single-View View Synthesis with Multiplane Images Richard Tucker Noah Snavely 68 343 0 23 Apr 2020
State of the Art on Neural Rendering A. Tewari Ohad Fried Justus Thies Vincent Sitzmann Stephen Lombardi ... Christian Theobalt Maneesh Agrawala Eli Shechtman Dan B. Goldman Michael Zollhöfer 3DH 3DV 76 469 0 08 Apr 2020
SynSin: End-to-end View Synthesis from a Single Image Olivia Wiles Georgia Gkioxari Richard Szeliski Justin Johnson 3DV 83 472 0 18 Dec 2019
Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision Michael Niemeyer L. Mescheder Michael Oechsle Andreas Geiger 3DH 3DV 69 995 0 16 Dec 2019
SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization Yue Jiang Dantong Ji Zhizhong Han Matthias Zwicker 58 237 0 15 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 493 42,407 0 03 Dec 2019
DIST: Rendering Deep Implicit Signed Distance Function with Differentiable Sphere Tracing Shaohui Liu Yinda Zhang Songyou Peng Boxin Shi Marc Pollefeys Zhaopeng Cui 115 285 0 29 Nov 2019
Autolabeling 3D Objects with Differentiable Rendering of SDF Shape Priors Sergey Zakharov Wadim Kehl Arjun Bhargava Adrien Gaidon 3DPC 100 115 0 26 Nov 2019
Learning to Infer Implicit Surfaces without 3D Supervision Shichen Liu Shunsuke Saito Weikai Chen Hao Li 3DV 83 197 0 02 Nov 2019
Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer Wenzheng Chen Jun Gao Huan Ling Edward James Smith J. Lehtinen Alec Jacobson Sanja Fidler 3DH 3DV 88 362 0 03 Aug 2019
Neural Point-Based Graphics Kara-Ali Aliev Artem Sevastopolsky Maria Kolos Dmitry Ulyanov Victor Lempitsky 3DH 3DPC 66 431 0 19 Jun 2019
Neural Volumes: Learning Dynamic Renderable Volumes from Images Stephen Lombardi Tomas Simon Jason M. Saragih Gabriel Schwartz Andreas M. Lehrmann Yaser Sheikh 3DH 63 280 0 18 Jun 2019
Differentiable Surface Splatting for Point-based Geometry Processing Yifan Wang Felice Serena Shihao Wu Cengiz Öztireli O. Sorkine-Hornung 3DPC 77 298 0 10 Jun 2019
Local Light Field Fusion: Practical View Synthesis with Prescriptive Sampling Guidelines B. Mildenhall Pratul P. Srinivasan Rodrigo Ortiz Cayon N. Kalantari R. Ramamoorthi Ren Ng Abhishek Kar 80 490 0 02 May 2019
Pushing the Boundaries of View Extrapolation with Multiplane Images Pratul P. Srinivasan Richard Tucker Jonathan T. Barron R. Ramamoorthi Ren Ng Noah Snavely 68 335 0 01 May 2019
Deferred Neural Rendering: Image Synthesis using Neural Textures Justus Thies Michael Zollhöfer Matthias Nießner 3DH 77 681 0 28 Apr 2019
Neural Rerendering in the Wild Moustafa Meshry Dan B. Goldman S. Khamis Hugues Hoppe Rohit Pandey Noah Snavely Ricardo Martín Brualla 3DH 43 209 0 08 Apr 2019
Revealing Scenes by Inverting Structure from Motion Reconstructions Francesco Pittaluga S. Koppal S. B. Kang Sudipta N. Sinha 3DPC 47 127 0 05 Apr 2019
Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning Shichen Liu Tianye Li Weikai Chen Hao Li 3DV 85 694 0 03 Apr 2019
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation Jeong Joon Park Peter R. Florence Julian Straub Richard Newcombe S. Lovegrove 3DV 131 3,683 0 16 Jan 2019
Occupancy Networks: Learning 3D Reconstruction in Function Space L. Mescheder Michael Oechsle Michael Niemeyer Sebastian Nowozin Andreas Geiger 3DV 236 2,897 0 10 Dec 2018
Visual Object Networks: Image Generation with Disentangled 3D Representation Jun-Yan Zhu Zhoutong Zhang Chengkai Zhang Jiajun Wu Antonio Torralba J. Tenenbaum Bill Freeman DRL CoGe OCL 72 254 0 06 Dec 2018
DeepVoxels: Learning Persistent 3D Feature Embeddings Vincent Sitzmann Justus Thies Felix Heide Matthias Nießner Gordon Wetzstein Michael Zollhöfer SSL 3DPC MDE 115 668 0 03 Dec 2018
Learning View Priors for Single-view 3D Reconstruction Hiroharu Kato Tatsuya Harada 70 80 0 26 Nov 2018
Unsupervised Learning of Shape and Pose with Differentiable Point Clouds Eldar Insafutdinov Alexey Dosovitskiy 3DPC 66 244 0 22 Oct 2018
RenderNet: A deep convolutional network for differentiable rendering from 3D shapes Thu Nguyen-Phuoc Chuan Li Stephen Balaban Yong-Liang Yang 3DV 107 154 0 18 Jun 2018
Unsupervised Training for 3D Morphable Model Regression Kyle Genova Forrester Cole Aaron Maschinot Aaron Sarna Daniel Vlasic William T. Freeman CVBM 3DH 79 307 0 15 Jun 2018
Free-Form Image Inpainting with Gated Convolution Jiahui Yu Zhe Lin Jimei Yang Xiaohui Shen Xin Lu Thomas Huang DRL 66 1,715 0 10 Jun 2018
Stereo Magnification: Learning View Synthesis using Multiplane Images Tinghui Zhou Richard Tucker John Flynn Graham Fyffe Noah Snavely 3DV 75 381 0 24 May 2018
Pixels, voxels, and views: A study of shape representations for single view 3D object shape prediction Daeyun Shin Charless C. Fowlkes Derek Hoiem 60 117 0 17 Apr 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric Richard Y. Zhang Phillip Isola Alexei A. Efros Eli Shechtman Oliver Wang EGVM 377 11,795 0 11 Jan 2018
Neural 3D Mesh Renderer Hiroharu Kato Yoshitaka Ushiku Tatsuya Harada 3DV 73 1,045 0 20 Nov 2017