Optimizing the Latent Space of Generative Networks

18 July 2017

Papers citing "Optimizing the Latent Space of Generative Networks"

37 / 87 papers shown

Title
FaceDet3D: Facial Expressions with 3D Geometric Detail Prediction ShahRukh Athar Albert Pumarola Francesc Moreno-Noguer Dimitris Samaras 3DH CVBM 25 7 0 14 Dec 2020
GAN "Steerability" without optimization Nurit Spingarn-Eliezer Ron Banner T. Michaeli LLMSV 30 57 0 09 Dec 2020
Nerfies: Deformable Neural Radiance Fields Keunhong Park U. Sinha Jonathan T. Barron Sofien Bouaziz Dan B. Goldman S. M. Seitz Ricardo Martín Brualla 3DH 76 1,110 0 25 Nov 2020
No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems N. Sohoni Jared A. Dunnmon Geoffrey Angus Albert Gu Christopher Ré 30 242 0 25 Nov 2020
Few-Shot Adaptation of Generative Adversarial Networks Esther Robb Wen-Sheng Chu Abhishek Kumar Jia-Bin Huang 35 99 0 22 Oct 2020
The Utility of Decorrelating Colour Spaces in Vector Quantised Variational Autoencoders A. Akbarinia Raquel Gil-Rodríguez Alban Flachot Matteo Toscani DRL 18 0 0 30 Sep 2020
Invertible Neural BRDF for Object Inverse Rendering Zhe Chen S. Nobuhara Ko Nishino BDL AI4CE 38 26 0 10 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 11 1,460 0 05 Aug 2020
Deep Generative Model-based Quality Control for Cardiac MRI Segmentation Shuo Wang G. Tarroni C. Qin Yuanhan Mo Chengliang Dai Chia-Ju Chen Ben Glocker Yike Guo Daniel Rueckert Wenjia Bai MedIm 17 28 0 23 Jun 2020
ShapeFlow: Learnable Deformations Among 3D Shapes C. Jiang Jingwei Huang Andrea Tagliasacchi Leonidas J. Guibas 3DPC AI4CE 22 44 0 14 Jun 2020
End-to-end Sinkhorn Autoencoder with Noise Generator Kamil Deja Jan Dubiñski Piotr W. Nowak S. Wenzel Tomasz Trzciñski SyDa 30 22 0 11 Jun 2020
Guided Variational Autoencoder for Disentanglement Learning Zheng Ding Yifan Xu Weijian Xu Gaurav Parmar Yang Yang Max Welling Zhuowen Tu DRL CoGe 34 106 0 02 Apr 2020
Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs Sangwoo Mo Minsu Cho Jinwoo Shin 30 212 0 25 Feb 2020
Reducing the Representation Error of GAN Image Priors Using the Deep Decoder Max Daniels Paul Hand Reinhard Heckel GAN 25 2 0 23 Jan 2020
C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds Albert Pumarola S. Popov Francesc Moreno-Noguer V. Ferrari 3DPC AI4CE 31 80 0 15 Dec 2019
Low Shot Learning with Untrained Neural Networks for Imaging Inverse Problems Oscar Leong W. Sakla GAN 14 7 0 23 Oct 2019
Demystifying Inter-Class Disentanglement Aviv Gabbay Yedid Hoshen DRL 22 56 0 27 Jun 2019
Deep Set Prediction Networks Yan Zhang Jonathon S. Hare Adam Prugel-Bennett 22 107 0 15 Jun 2019
Image-Adaptive GAN based Reconstruction Shady Abu Hussein Tom Tirer Raja Giryes GAN 19 89 0 12 Jun 2019
A gradual, semi-discrete approach to generative network training via explicit Wasserstein minimization Yucheng Chen Matus Telgarsky Chao Zhang Bolton Bailey Daniel J. Hsu Jian-wei Peng GAN OT 16 17 0 08 Jun 2019
Style Generator Inversion for Image Enhancement and Animation Aviv Gabbay Yedid Hoshen 16 17 0 05 Jun 2019
Learning Implicit Generative Models by Matching Perceptual Features Cicero Nogueira dos Santos Youssef Mroueh Inkit Padhi Pierre Dognin GAN 43 28 0 04 Apr 2019
From Variational to Deterministic Autoencoders Partha Ghosh Mehdi S. M. Sajjadi Antonio Vergari Michael J. Black Bernhard Schölkopf DRL 37 269 0 29 Mar 2019
Alternating Phase Projected Gradient Descent with Generative Priors for Solving Compressive Phase Retrieval Rakib Hyder Viraj Shah C. Hegde Ulugbek S. Kamilov 21 45 0 07 Mar 2019
Generative Models for Low-Rank Video Representation and Reconstruction Rakib Hyder Ulugbek S. Kamilov GAN 27 11 0 25 Feb 2019
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation Jeong Joon Park Peter R. Florence Julian Straub Richard Newcombe S. Lovegrove 3DV 38 3,616 0 16 Jan 2019
Detecting Overfitting of Deep Generative Networks via Latent Recovery Ryan Webster Julien Rabin Loïc Simon F. Jurie GAN 14 99 0 09 Jan 2019
Semi-Supervised Monaural Singing Voice Separation With a Masking Network Trained on Synthetic Mixtures Michael Michelashvili Sagie Benaim Lior Wolf 22 13 0 14 Dec 2018
Generative networks as inverse problems with Scattering transforms Tomás Angles S. Mallat GAN 43 31 0 17 May 2018
Stingray Detection of Aerial Images Using Augmented Training Images Generated by A Conditional Generative Model Yi-Min Chou Chien-Hung Chen Keng-Hao Liu Chu-Song Chen 32 3 0 11 May 2018
Gaussian Material Synthesis K. Zsolnai-Fehér Peter Wonka Michael Wimmer 3DV 3DGS 19 11 0 23 Apr 2018
Context-aware Synthesis for Video Frame Interpolation Simon Niklaus Feng Liu 48 406 0 29 Mar 2018
Estimating the Success of Unsupervised Image to Image Translation Sagie Benaim Tomer Galanti Lior Wolf SSL 23 0 0 21 Dec 2017
Semantic Interpolation in Implicit Models Yannic Kilcher Aurelien Lucchi Thomas Hofmann 35 17 0 31 Oct 2017
Deep Learning Techniques for Music Generation -- A Survey Jean-Pierre Briot Gaëtan Hadjeres F. Pachet MGen 37 297 0 05 Sep 2017
Inverting The Generator Of A Generative Adversarial Network Antonia Creswell Anil Anthony Bharath GAN 171 338 0 17 Nov 2016
Iterative Gaussianization: from ICA to Random Rotations Valero Laparra Gustavo Camps-Valls Jesús Malo 67 125 0 31 Jan 2016