Deep Convolutional Inverse Graphics Network

11 March 2015

Papers citing "Deep Convolutional Inverse Graphics Network"

50 / 246 papers shown

Title
Outdoor inverse rendering from a single image using multiview self-supervision Ye Yu W. Smith SSL 3DV 34 24 0 12 Feb 2021
Worldsheet: Wrapping the World in a 3D Sheet for View Synthesis from a Single Image Ronghang Hu Nikhila Ravi Alexander C. Berg Deepak Pathak 38 83 0 17 Dec 2020
Rotation-Invariant Autoencoders for Signals on Spheres Suhas Lohit Shubhendu Trivedi MDE 22 5 0 08 Dec 2020
Understanding Failures of Deep Networks via Robust Feature Extraction Sahil Singla Besmira Nushi S. Shah Ece Kamar Eric Horvitz FAtt 28 83 0 03 Dec 2020
MVTN: Multi-View Transformation Network for 3D Shape Recognition Abdullah Hamdi Silvio Giancola Guohao Li 3DV 3DPC 36 199 0 26 Nov 2020
A Sober Look at the Unsupervised Learning of Disentangled Representations and their Evaluation Francesco Locatello Stefan Bauer Mario Lucic Gunnar Rätsch Sylvain Gelly Bernhard Schölkopf Olivier Bachem OOD 17 66 0 27 Oct 2020
THIN: THrowable Information Networks and Application for Facial Expression Recognition In The Wild Estèphe Arnaud Arnaud Dapogny Kévin Bailly CVBM 29 23 0 15 Oct 2020
Deep generative demixing: Recovering Lipschitz signals from noisy subgaussian mixtures Aaron Berk 19 0 0 13 Oct 2020
Deep Anomaly Detection by Residual Adaptation Lucas Deecke Lukas Ruff Robert A. Vandermeulen Hakan Bilen UQCV 33 4 0 05 Oct 2020
A Comprehensive Survey of Machine Learning Applied to Radar Signal Processing Ping Lang Xiongjun Fu M. Martorella Jian Dong Rui Qin Xianpeng Meng M. Xie 26 39 0 29 Sep 2020
Measuring the Biases and Effectiveness of Content-Style Disentanglement Xiao Liu Spyridon Thermos Gabriele Valvano A. Chartsias Alison Q. OÑeil Sotirios A. Tsaftaris CoGe DRL 32 18 0 27 Aug 2020
Privacy-preserving Voice Analysis via Disentangled Representations Ranya Aloufi Hamed Haddadi David E. Boyle DRL 28 58 0 29 Jul 2020
Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding David A. Klindt Lukas Schott Yash Sharma Ivan Ustyuzhaninov Wieland Brendel Matthias Bethge Dylan M. Paiton CML 48 132 0 21 Jul 2020
Generative causal explanations of black-box classifiers Matthew R. O’Shaughnessy Gregory H. Canal Marissa Connor Mark A. Davenport Christopher Rozell CML 30 73 0 24 Jun 2020
Head2Head++: Deep Facial Attributes Re-Targeting M. Doukas Mohammad Rami Koujan V. Sharmanska A. Roussos CVBM 3DH 32 45 0 17 Jun 2020
Longitudinal Variational Autoencoder S. Ramchandran Gleb Tikhonov Kalle Kujanpää Miika Koskinen Harri Lähdesmäki DRL CML BDL 16 36 0 17 Jun 2020
Deep Structural Causal Models for Tractable Counterfactual Inference Nick Pawlowski Daniel Coelho De Castro Ben Glocker CML MedIm 33 232 0 11 Jun 2020
CONFIG: Controllable Neural Face Image Generation Marek Kowalski Stephan J. Garbin V. Estellers T. Baltrušaitis Matthew W. Johnson Jamie Shotton DRL 3DH CVBM 33 90 0 06 May 2020
Generative Adversarial Networks (GANs Survey): Challenges, Solutions, and Future Directions Divya Saxena Jiannong Cao AAML AI4CE 26 287 0 30 Apr 2020
OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer Xiaoxu Li Dongliang Chang Zhanyu Ma Zheng-Hua Tan Jing-Hao Xue Jie Cao Jingyi Yu Jun Guo 28 32 0 20 Apr 2020
CausalVAE: Structured Causal Disentanglement in Variational Autoencoder Mengyue Yang Furui Liu Zhitang Chen Xinwei Shen Jianye Hao Jun Wang OOD CoGe CML 41 44 0 18 Apr 2020
Learning to Manipulate Individual Objects in an Image Yanchao Yang Yutong Chen Stefano Soatto OCL 13 37 0 11 Apr 2020
GANSpace: Discovering Interpretable GAN Controls Erik Härkönen Aaron Hertzmann J. Lehtinen Sylvain Paris 75 900 0 06 Apr 2020
Self-Supervised Viewpoint Learning From Image Collections Siva Karthik Mustikovela Varun Jampani Shalini De Mello Sifei Liu Umar Iqbal Carsten Rother Jan Kautz SSL 31 39 0 03 Apr 2020
Pix2Shape: Towards Unsupervised Learning of 3D Scenes from Images using a View-based Representation Sai Rajeswar Fahim Mannan Florian Golemo Jérôme Parent-Lévesque David Vazquez Derek Nowrouzezahrai Aaron Courville 3DV 42 11 0 23 Mar 2020
On the Road with 16 Neurons: Mental Imagery with Bio-inspired Deep Neural Networks Alice Plebe M. Lio 17 2 0 09 Mar 2020
Semi-Supervised StyleGAN for Disentanglement Learning Weili Nie Tero Karras Animesh Garg Shoubhik Debhath Anjul Patney Ankit B. Patel Anima Anandkumar DRL 89 72 0 06 Mar 2020
NestedVAE: Isolating Common Factors via Weak Supervision M. Vowels Necati Cihan Camgöz Richard Bowden CML DRL 26 21 0 26 Feb 2020
Disentangled Speech Embeddings using Cross-modal Self-supervision Arsha Nagrani Joon Son Chung Samuel Albanie Andrew Zisserman SSL 21 88 0 20 Feb 2020
Weakly-Supervised Disentanglement Without Compromises Francesco Locatello Ben Poole Gunnar Rätsch Bernhard Schölkopf Olivier Bachem Michael Tschannen CoGe OOD DRL 184 314 0 07 Feb 2020
SynSin: End-to-end View Synthesis from a Single Image Olivia Wiles Georgia Gkioxari Richard Szeliski Justin Johnson 3DV 41 468 0 18 Dec 2019
Independence Promoted Graph Disentangled Networks Yanbei Liu Tianlin Li Shu Wu Zhitao Xiao 30 94 0 26 Nov 2019
Weakly Supervised Disentanglement with Guarantees Rui Shu Yining Chen Abhishek Kumar Stefano Ermon Ben Poole CoGe DRL 56 136 0 22 Oct 2019
Face representation by deep learning: a linear encoding in a parameter space? Qiulei Dong Qiulei Dong Zhanyi Hu CVBM 17 1 0 22 Oct 2019
Interpretable neural networks based on continuous-valued logic and multicriteria decision operators Orsolya Csiszár Gábor Csiszár J. Dombi NAI 35 30 0 06 Oct 2019
Embodied Language Grounding with 3D Visual Feature Representations Mihir Prabhudesai H. Tung Syed Ashar Javed Maximilian Sieb Adam W. Harley Katerina Fragkiadaki 28 21 0 02 Oct 2019
Learning Energy-based Spatial-Temporal Generative ConvNets for Dynamic Patterns Jianwen Xie Song-Chun Zhu Ying Nian Wu GAN 29 52 0 26 Sep 2019
LAVAE: Disentangling Location and Appearance Andrea Dittadi Ole Winther OCL BDL DRL 20 6 0 25 Sep 2019
Dual Encoder-Decoder based Generative Adversarial Networks for Disentangled Facial Representation Learning Cong Hu Zhenhua Feng Xiaojun Wu J. Kittler CVBM GAN DRL 24 11 0 19 Sep 2019
Visuomotor Understanding for Representation Learning of Driving Scenes Seokju Lee Junsik Kim Tae-Hyun Oh Yongseop Jeong Donggeun Yoo Stephen Lin In So Kweon SSL 25 11 0 16 Sep 2019
Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations Jan Stühmer Richard Turner Sebastian Nowozin DRL BDL CoGe 117 25 0 05 Sep 2019
Theory and Evaluation Metrics for Learning Disentangled Representations Kien Do T. Tran CoGe DRL 21 93 0 26 Aug 2019
Improving Channel Charting with Representation-Constrained Autoencoders Pengzhi Huang Oscar Castañeda Emre Gönültaş Said Medjkouh O. Tirkkonen Tom Goldstein Christoph Studer 18 33 0 07 Aug 2019
Y-Autoencoders: disentangling latent representations via sequential-encoding Massimiliano Patacchiola P. Fox-Roberts E. Rosten OOD DRL 21 13 0 25 Jul 2019
Learning with Known Operators reduces Maximum Training Error Bounds Andreas Maier Christopher Syben Bernhard Stimpel Tobias Würfl M. Hoffmann Frank Schebesch Weilin Fu L. Mill L. Kling S. Christiansen 30 108 0 03 Jul 2019
Emergence of Exploratory Look-Around Behaviors through Active Observation Completion Santhosh Kumar Ramakrishnan Dinesh Jayaraman Kristen Grauman 20 40 0 27 Jun 2019
Unsupervised Learning of Object Keypoints for Perception and Control Tejas D. Kulkarni Ankush Gupta Catalin Ionescu Sebastian Borgeaud Malcolm Reynolds Andrew Zisserman Volodymyr Mnih SSL OCL 14 193 0 19 Jun 2019
Learning Disentangled Representations of Timbre and Pitch for Musical Instrument Sounds Using Gaussian Mixture Variational Autoencoders Yin-Jyun Luo Kat R. Agres Dorien Herremans 22 46 0 19 Jun 2019
Explicit Disentanglement of Appearance and Perspective in Generative Models N. Detlefsen Søren Hauberg CoGe DRL 30 47 0 11 Jun 2019
Inferring 3D Shapes from Image Collections using Adversarial Networks Matheus Gadelha Aartika Rai Subhransu Maji Rui Wang GAN 10 6 0 11 Jun 2019