Axel Levy

Generating author description...

All published works

Action	Title	Year	Authors
+ PDF Chat	Mixture of neural fields for heterogeneous reconstruction in cryo-EM	2024	Axel Levy Rishwanth Raghu David Shustin Anjie Peng Huan Li Oliver B. Clarke Gordon Wetzstein Ellen D. Zhong
+ PDF Chat	Solving Inverse Problems in Protein Space Using Diffusion-Based Priors	2024	Axel Levy Eric R. Chan Sara Fridovich-Keil Frédéric Poitevin Ellen D. Zhong Gordon Wetzstein
+ PDF Chat	MELON: NeRF with Unposed Images in SO(3)	2024	Axel Levy Mark A. Matthews Matan Sela Gordon Wetzstein Dmitry Lagun
+ PDF Chat	Generative Novel View Synthesis with 3D-Aware Diffusion Models	2023	Eric R. Chan Koki Nagano Matthew A. Chan Alexander W. Bergman Jeong Joon Park Axel Levy Miika Aittala Shalini De Mello Tero Karras Gordon Wetzstein
+	MELON: NeRF with Unposed Images in SO(3)	2023	Axel Levy Mark A. Matthews Matan Sela Gordon Wetzstein Dmitry Lagun
+	Generative Novel View Synthesis with 3D-Aware Diffusion Models	2023	Eric R. Chan Koki Nagano Matthew A. Chan Alexander W. Bergman Jeong Joon Park Axel Levy Miika Aittala Shalini De Mello Tero Karras Gordon Wetzstein
+	CryoChains: Heterogeneous Reconstruction of Molecular Assembly of Semi-flexible Chains from Cryo-EM Images	2023	Bong-Jin Koo Julien Martel Ariana Peck Axel Levy Frédéric Poitevin Nina Miolane
+	Scalable 3D Reconstruction From Single Particle X-Ray Diffraction Images Based on Online Machine Learning	2023	Jay Shenoy Axel Levy Frédéric Poitevin Gordon Wetzstein
+	Deep generative modeling for volume reconstruction in cryo-electron microscopy	2022	Claire Donnat Axel Levy Frédéric Poitevin Ellen D. Zhong Nina Miolane
+	Deep Generative Modeling for Volume Reconstruction in Cryo-Electron Microscopy	2022	Claire Donnat Axel Levy Frédéric Poitevin Nina Miolane
+	CryoAI: Amortized Inference of Poses for Ab Initio Reconstruction of 3D Molecular Volumes from Real Cryo-EM Images	2022	Axel Levy Frédéric Poitevin Julien Martel Youssef S. G. Nashed Ariana Peck Nina Miolane Daniel Ratner M. Dunne Gordon Wetzstein
+	Heterogeneous reconstruction of deformable atomic models in Cryo-EM	2022	Youssef S. G. Nashed Ariana Peck Julien Martel Axel Levy Bong-Jin Koo Gordon Wetzstein Nina Miolane Daniel Ratner Frédéric Poitevin
+	Amortized Inference for Heterogeneous Reconstruction in Cryo-EM	2022	Axel Levy Gordon Wetzstein Julien Martel Frédéric Poitevin Ellen D. Zhong
+	CryoAI: Amortized Inference of Poses for Ab Initio Reconstruction of 3D Molecular Volumes from Real Cryo-EM Images	2022	Axel Levy Frédéric Poitevin Julien Martel Youssef S. G. Nashed Ariana Peck Nina Miolane Daniel Ratner Mike Dunne Gordon Wetzstein

Common Coauthors

Coauthor	Papers Together
Gordon Wetzstein	11
Frédéric Poitevin	9
Nina Miolane	6
Julien Martel	5
Ariana Peck	4
Ellen D. Zhong	4
Daniel Ratner	3
Eric R. Chan	3
Youssef S. G. Nashed	3
Jeong Joon Park	2
Tero Karras	2
Mark A. Matthews	2
Claire Donnat	2
Shalini De Mello	2
Koki Nagano	2
Matan Sela	2
Miika Aittala	2
Bong-Jin Koo	2
Dmitry Lagun	2
Matthew A. Chan	2
Alexander W. Bergman	2
Anjie Peng	1
Rishwanth Raghu	1
Mike Dunne	1
Huan Li	1
M. Dunne	1
Sara Fridovich-Keil	1
Oliver B. Clarke	1
David Shustin	1
Jay Shenoy	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	pixelNeRF: Neural Radiance Fields from One or Few Images	2021	Alex Yu Vickie Ye Matthew Tancik Angjoo Kanazawa	2
+ PDF Chat	GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields	2021	Michael Niemeyer Andreas Geiger	2
+ PDF Chat	Single-Particle Cryo-Electron Microscopy: Mathematical Theory, Computational Challenges, and Opportunities	2020	Tamir Bendory Alberto Bartesaghi Amit Singer	2
+	Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm	1977	A. P. Dempster N. M. Laird Donald B. Rubin	2
+ PDF Chat	NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis	2020	Ben Mildenhall Pratul P. Srinivasan Matthew Tancik Jonathan T. Barron Ravi Ramamoorthi Ren Ng	2
+ PDF Chat	Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstruction	2021	Jeremy Reizenstein Роман Шаповалов Philipp Henzler L. Sbordone Patrick Labatut David Novotný	2
+ PDF Chat	Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations	2022	Mehdi S. M. Sajjadi Henning Meyer Etienne Pot Urs Bergmann Klaus Greff Noha Radwan Suhani Vora Mario Lučić Daniel Duckworth Alexey Dosovitskiy	2
+ PDF Chat	The Unreasonable Effectiveness of Deep Features as a Perceptual Metric	2018	Richard Zhang Phillip Isola Alexei A. Efros Eli Shechtman Oliver Wang	2
+ PDF Chat	Instant neural graphics primitives with a multiresolution hash encoding	2022	Thomas Müller Alex Evans Christoph Schied Alexander Keller	2
+ PDF Chat	pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis	2021	Eric R. Chan Marco Aurélio Alvarenga Monteiro Petr Kellnhofer Jiajun Wu Gordon Wetzstein	2
+	Deep learning-based mixed-dimensional Gaussian mixture model for characterizing variability in cryo-EM	2021	Muyuan Chen Steven J. Ludtke	2
+	CryoAI: Amortized Inference of Poses for Ab Initio Reconstruction of 3D Molecular Volumes from Real Cryo-EM Images	2022	Axel Levy Frédéric Poitevin Julien Martel Youssef S. G. Nashed Ariana Peck Nina Miolane Daniel Ratner Mike Dunne Gordon Wetzstein	2
+ PDF Chat	Estimation of Orientation and Camera Parameters from Cryo-Electron Microscopy Images with Variational Autoencoders and Generative Adversarial Networks	2020	Nina Miolane Frédéric Poitevin Yee-Ting Li Susan Holmes	2
+ PDF Chat	Efficient Geometry-aware 3D Generative Adversarial Networks	2022	Eric R. Chan Connor Z. Lin Matthew A. Chan Koki Nagano Boxiao Pan Shalini De Mello Orazio Gallo Leonidas Guibas Jonathan Tremblay Sameh Khamis	2
+ PDF Chat	Understanding the Limitations of CNN-Based Absolute Camera Pose Regression	2019	Torsten Sattler Qunjie Zhou Marc Pollefeys Laura Leal-Taixé	1
+ PDF Chat	3D Pose Regression Using Convolutional Neural Networks	2017	Siddharth Mahendran Haider Ali René Vidal	1
+ PDF Chat	PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization	2015	Alex Kendall Matthew Koichi Grimes Roberto Cipolla	1
+	Explorations in Homeomorphic Variational Auto-Encoding	2018	Luca Falorsi Pim de Haan Tim R. Davidson Nicola De Cao Maurice Weiler Patrick Forré Taco Cohen	1
+ PDF Chat	Learning SO(3) Equivariant Representations with Spherical CNNs	2018	Carlos Esteves Christine Allen-Blanchette Ameesh Makadia Kostas Daniilidis	1
+ PDF Chat	Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information	2006	Emmanuel J. Candès Justin Romberg Terence Tao	1
+ PDF Chat	Statistics of Critical Points of Gaussian Fields on Large-Dimensional Spaces	2007	Alan J. Bray David S. Dean	1
+ PDF Chat	Covariance Matrix Estimation for the Cryo-EM Heterogeneity Problem	2015	Eugene Katsevich Alexander Katsevich Amit Singer	1
+ PDF Chat	Matterport3D: Learning from RGB-D Data in Indoor Environments	2017	Anne Lynn S. Chang Angela Dai Thomas Funkhouser Maciej Halber Matthias NieBner Manolis Savva Shuran Song Andy Zeng Yinda Zhang	1
+ PDF Chat	DeepVoxels: Learning Persistent 3D Feature Embeddings	2019	Vincent Sitzmann Justus Thies Felix Heide Matthias NieBner Gordon Wetzstein Michael Zollhöfer	1
+ PDF Chat	HoloGAN: Unsupervised Learning of 3D Representations From Natural Images	2019	Thu Nguyen-Phuoc Chuan Li Lucas Theis Christian Richardt Yong‐Liang Yang	1
+	Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations	2019	Vincent Sitzmann Michael Zollhöfer Gordon Wetzstein	1
+	Explicitly disentangling image content from translation and rotation with spatial-VAE	2019	Tristan Bepler Ellen D. Zhong K. Kelley Edward J. Brignole Bonnie Berger	1
+ PDF Chat	Equivariant Multi-View Networks	2019	Carlos Esteves Yinshuang Xu Christine Allec-Blanchette Kostas Daniilidis	1
+ PDF Chat	Learning Shape Templates With Structured Implicit Functions	2019	Kyle Genova Forrester Cole Daniel Vlasic Aaron Sarna William T. Freeman Thomas Funkhouser	1
+ PDF Chat	PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization	2019	Shunsuke Saito Zeng Huang Ryota Natsume Shigeo Morishima Hao Li Angjoo Kanazawa	1
+ PDF Chat	DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation	2019	Jeong Joon Park Pete Florence Julian Straub Richard Newcombe Steven Lovegrove	1
+	Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation	2018	Liang-Chieh Chen Yukun Zhu George Papandreou Florian Schroff Hartwig Adam	1
+	GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis	2020	Katja Schwarz Yiyi Liao Michael Niemeyer Andreas Geiger	1
+	Generative Modeling by Estimating Gradients of the Data Distribution	2019	Yang Song Stefano Ermon	1
+ PDF Chat	Common lines modeling for reference free Ab-initio reconstruction in cryo-EM	2017	Ido Greenberg Yoel Shkolnisky	1
+	Branch-and-Bound Methods: A Survey	1966	Eugene L. Lawler Derek Wood	1
+	MetaSDF: Meta-learning Signed Distance Functions	2020	Vincent Sitzmann Eric R. Chan Richard Tucker Noah Snavely Gordon Wetzstein	1
+ PDF Chat	SynSin: End-to-End View Synthesis From a Single Image	2020	Olivia Wiles Georgia Gkioxari Richard Szeliski Justin Johnson	1
+	Denoising Diffusion Probabilistic Models	2020	Jonathan Ho Ajay N. Jain Pieter Abbeel	1
+	SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks	2020	Fabian B. Fuchs Daniel E. Worrall Volker Fischer Max Welling	1
+	Differentiable probabilistic models of scientific imaging with the Fourier slice theorem	2019	Karen Ullrich Rianne van den Berg Marcus A. Brubaker David J. Fleet Max Welling	1
+ PDF Chat	Single-View View Synthesis With Multiplane Images	2020	Richard Tucker Noah Snavely	1
+	Deep learning in electron microscopy	2020	Jeffrey M. Ede	1
+ PDF Chat	Generative adversarial networks	2020	Ian Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville Yoshua Bengio	1
+	Joint Angular Refinement and Reconstruction for Single-Particle Cryo-EM	2020	Mona Zehni Laurène Donati Emmanuel Soubies Zhizhen Zhao Michaël Unser	1
+ PDF Chat	Variational selection of features for molecular kinetics	2019	Martin K. Scherer Brooke E. Husic Moritz Hoffmann Fabian Paul Hao Wu Frank Noé	1
+ PDF Chat	SAL: Sign Agnostic Learning of Shapes From Raw Data	2020	Matan Atzmon Yaron Lipman	1
+ PDF Chat	On the Continuity of Rotation Representations in Neural Networks	2019	Yi Zhou Connelly Barnes Jingwan Lu Shuicheng Yan Hao Li	1
+	Score-Based Generative Modeling through Stochastic Differential Equations	2020	Yang Song Jascha Sohl‐Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole	1
+	GANs Trained by a Two Time-Scale Update Rule Converge to a Nash Equilibrium	2017	Martin Heusel Hubert Ramsauer Thomas Unterthiner Bernhard Nessler Günter Klambauer Sepp Hochreiter	1