Tejan Karmali

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All published works

Action	Title	Year	Authors
+ PDF Chat	NoisyTwins: Class-Consistent and Diverse Image Generation Through StyleGANs	2023	Harsh Rangwani Lavish Bansal Kartik Sharma Tejan Karmali Varun Jampani R. Venkatesh Babu
+	NoisyTwins: Class-Consistent and Diverse Image Generation through StyleGANs	2023	Harsh Rangwani Lavish Bansal Kartik Sharma Tejan Karmali Varun Jampani R. Venkatesh Babu
+	Exploring Attribute Variations in Style-based GANs using Diffusion Models	2023	Rishubh Parihar Prasanna Balaji Raghav Magazine Sarthak Vora Tejan Karmali Varun Jampani R. Venkatesh Babu
+ PDF Chat	Everything is There in Latent Space: Attribute Editing and Attribute Style Manipulation by StyleGAN Latent Space Exploration	2022	Rishubh Parihar Ankit Dhiman Tejan Karmali R. Venkatesh
+ PDF Chat	LEAD: Self-Supervised Landmark Estimation by Aligning Distributions of Feature Similarity	2022	Tejan Karmali Abhinav Atrishi Sai Sree Harsha Susmit Agrawal Varun Jampani R. Venkatesh Babu
+	LEAD: Self-Supervised Landmark Estimation by Aligning Distributions of Feature Similarity	2022	Tejan Karmali Abhinav Atrishi Sai Sree Harsha Susmit Agrawal Varun Jampani R. Venkatesh Babu
+	Improving GANs for Long-Tailed Data through Group Spectral Regularization	2022	Harsh Rangwani Naman Jaswani Tejan Karmali Varun Jampani R. Venkatesh Babu
+	Hierarchical Semantic Regularization of Latent Spaces in StyleGANs	2022	Tejan Karmali Rishubh Parihar Susmit Agrawal Harsh Rangwani Varun Jampani Maneesh Singh R. Venkatesh Babu
+ PDF Chat	Hierarchical Semantic Regularization of Latent Spaces in StyleGANs	2022	Tejan Karmali Rishubh Parihar Susmit Agrawal Harsh Rangwani Varun Jampani Maneesh Singh R. Venkatesh Babu
+ PDF Chat	Improving GANs for Long-Tailed Data Through Group Spectral Regularization	2022	Harsh Rangwani Naman Jaswani Tejan Karmali Varun Jampani R. Venkatesh Babu
+ PDF Chat	Deep Implicit Surface Point Prediction Networks	2021	Rahul Venkatesh Tejan Karmali Sarthak Sharma Aurobrata Ghosh R. Venkatesh Babu László A. Jeni Maneesh Singh
+	Deep Implicit Surface Point Prediction Networks	2021	Rahul Venkatesh Tejan Karmali Sarthak Sharma Aurobrata Ghosh R. Venkatesh Babu László A. Jeni Maneesh Singh
+	Deep Implicit Surface Point Prediction Networks	2021	Rahul Venkatesh Tejan Karmali Sarthak Sharma Aurobrata Ghosh R. Venkatesh Babu László A. Jeni Maneesh Singh
+	Fashionable Modelling with Flux	2018	Michael Innes Elliot Saba Keno Fischer Dhairya Gandhi Marco Concetto Rudilosso Neethu Mariya Joy Tejan Karmali Avik Pal Viral B. Shah

Common Coauthors

Coauthor	Papers Together
R. Venkatesh Babu	12
Varun Jampani	9
Harsh Rangwani	6
Maneesh Singh	5
Rishubh Parihar	4
Susmit Agrawal	4
Rahul Venkatesh	3
László A. Jeni	3
Aurobrata Ghosh	3
Kartik Sharma	2
Lavish Bansal	2
Sai Sree Harsha	2
Abhinav Atrishi	2
Naman Jaswani	2
Sarthak Sharma	2
R. Venkatesh	1
Keno Fischer	1
Marco Concetto Rudilosso	1
Dhairya Gandhi	1
Raghav Magazine	1
Ankit Dhiman	1
Elliot Saba	1
Neethu Mariya Joy	1
Sarthak Sharma	1
Viral B. Shah	1
Avik Pal	1
Sarthak Vora	1
Prasanna Balaji	1
Michael Innes	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	StyleSpace Analysis: Disentangled Controls for StyleGAN Image Generation	2021	Zongze Wu Dani Lischinski Eli Shechtman	3
+ PDF Chat	Analyzing and Improving the Image Quality of StyleGAN	2020	Tero Karras Samuli Laine Miika Aittala Janne Hellsten Jaakko Lehtinen Timo Aila	3
+ PDF Chat	Closed-Form Factorization of Latent Semantics in GANs	2021	Yujun Shen Bolei Zhou	3
+ PDF Chat	A Style-Based Generator Architecture for Generative Adversarial Networks	2019	Tero Karras Samuli Laine Timo Aila	3
+ PDF Chat	StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery	2021	Or Patashnik Zongze Wu Eli Shechtman Daniel Cohen‐Or Dani Lischinski	3
+ PDF Chat	Intrinsic3D: High-Quality 3D Reconstruction by Joint Appearance and Geometry Optimization with Spatially-Varying Lighting	2017	Robert Maier Kihwan Kim Daniel Cremers Jan Kautz Matthias Nießner	2
+ PDF Chat	Convolutional Occupancy Networks	2020	Songyou Peng Michael Niemeyer Lars Mescheder Marc Pollefeys Andreas Geiger	2
+ PDF Chat	CvxNet: Learnable Convex Decomposition	2020	Boyang Deng Kyle Genova Soroosh Yazdani Sofien Bouaziz Geoffrey E. Hinton Andrea Tagliasacchi	2
+ PDF Chat	DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation	2019	Jeong Joon Park Pete Florence Julian Straub Richard Newcombe Steven Lovegrove	2
+ PDF Chat	Least Squares Generative Adversarial Networks	2017	Xudong Mao Qing Li Haoran Xie Raymond Y.K. Lau Zhen Wang Stephen Paul Smolley	2
+	Robust Watertight Manifold Surface Generation Method for ShapeNet Models	2018	Jingwei Huang Hao Su Leonidas Guibas	2
+ PDF Chat	Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling	2018	Xingyuan Sun Jiajun Wu Xiuming Zhang Zhoutong Zhang Chengkai Zhang Tianfan Xue Joshua B. Tenenbaum William T. Freeman	2
+ PDF Chat	Interpreting the Latent Space of GANs for Semantic Face Editing	2020	Yujun Shen Jinjin Gu Xiaoou Tang Bolei Zhou	2
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+ PDF Chat	Occupancy Networks: Learning 3D Reconstruction in Function Space	2019	Lars Mescheder Michael Oechsle Michael Niemeyer Sebastian Nowozin Andreas Geiger	2
+	Training Generative Adversarial Networks with Limited Data	2020	Tero Karras Miika Aittala Janne Hellsten Samuli Laine Jaakko Lehtinen Timo Aila	2
+ PDF Chat	Deep Learning Face Attributes in the Wild	2015	Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang	2
+	Bootstrap your own latent: A new approach to self-supervised Learning	2020	Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre H. Richemond Elena Buchatskaya Carl Doersch Bernardo Ávila Pires Zhaohan Daniel Guo Mohammad Gheshlaghi Azar	2
+ PDF Chat	Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion	2020	Julian Chibane Thiemo Alldieck Gerard Pons‐Moll	2
+	SALD: Sign Agnostic Learning with Derivatives	2020	Matan Atzmon Yaron Lipman	2
+ PDF Chat	3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction	2016	Christopher Choy Danfei Xu JunYoung Gwak Kai Chen Silvio Savarese	2
+ PDF Chat	Class-Balanced Loss Based on Effective Number of Samples	2019	Yin Cui Menglin Jia Tsung-Yi Lin Yang Song Serge Belongie	2
+	A Simple Framework for Contrastive Learning of Visual Representations	2020	Ting Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton	2
+ PDF Chat	A Point Set Generation Network for 3D Object Reconstruction from a Single Image	2017	Haoqiang Fan Hao Su Leonidas Guibas	2
+ PDF Chat	Image-Based 3D Object Reconstruction: State-of-the-Art and Trends in the Deep Learning Era	2019	Xian-Feng Han Hamid Laga Mohammed Bennamoun	2
+ PDF Chat	SAL: Sign Agnostic Learning of Shapes From Raw Data	2020	Matan Atzmon Yaron Lipman	2
+ PDF Chat	BSP-Net: Generating Compact Meshes via Binary Space Partitioning	2020	Zhiqin Chen Andrea Tagliasacchi Hao Zhang	2
+ PDF Chat	Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images	2018	Nanyang Wang Yinda Zhang Zhuwen Li Yanwei Fu Wei Liu Yu–Gang Jiang	2
+ PDF Chat	PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation	2017	Raffaelli Charles Hao Su Kaichun Mo Leonidas Guibas	2
+ PDF Chat	Deep Mesh Reconstruction From Single RGB Images via Topology Modification Networks	2019	Junyi Pan Xiaoguang Han Weikai Chen Jiapeng Tang Kui Jia	2
+	Self-supervised learning of a facial attribute embedding from video	2018	Olivia Wiles A. Sophia Koepke Andrew Zisserman	1
+ PDF Chat	Deep Clustering for Unsupervised Learning of Visual Features	2018	Mathilde Caron Piotr Bojanowski Armand Joulin Matthijs Douze	1
+ PDF Chat	Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance	2018	Zhixin Shu Mihir Sahasrabudhe Rıza Alp Güler Dimitris Samaras Nikos Paragios Iasonas Kokkinos	1
+ PDF Chat	Do Better ImageNet Models Transfer Better?	2019	Simon Kornblith Jonathon Shlens Quoc V. Le	1
+ PDF Chat	Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction	2017	Richard Zhang Phillip Isola Alexei A. Efros	1
+ PDF Chat	Julia: A Fresh Approach to Numerical Computing	2017	Jeff Bezanson Alan Edelman Stefan Karpinski Viral B. Shah	1
+ PDF Chat	The iNaturalist Species Classification and Detection Dataset	2018	Grant Van Horn Oisin Mac Aodha Yang Song Yin Cui Chen Sun Alex Shepard Hartwig Adam Pietro Perona Serge Belongie	1
+	Which Training Methods for GANs do actually Converge?	2018	Lars Mescheder Andreas Geiger Sebastian Nowozin	1
+ PDF Chat	Learning a Deep Embedding Model for Zero-Shot Learning	2017	Li Zhang Tao Xiang Shaogang Gong	1
+	Unsupervised Representation Learning by Predicting Image Rotations	2018	Spyros Gidaris Praveer Singh Nikos Komodakis	1
+	Forward-Mode Automatic Differentiation in Julia	2016	Jarrett Revels Miles Lubin Theodore Papamarkou	1
+	Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks	2015	Kai Sheng Tai Richard Socher Christopher D. Manning	1
+ PDF Chat	Learning Deep Representation for Face Alignment with Auxiliary Attributes	2015	Zhanpeng Zhang Ping Luo Chen Change Loy Xiaoou Tang	1
+ PDF Chat	Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network	2017	Christian Ledig Lucas Theis Ferenc Huszár José Caballero Andrew Cunningham Alejandro Acosta Andrew P. Aitken Alykhan Tejani Johannes Totz Zehan Wang	1
+ PDF Chat	Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks	2018	Zhenhua Feng Josef Kittler Muhammad Awais Patrik Huber Xiao‐Jun Wu	1
+ PDF Chat	Unsupervised Discovery of Object Landmarks as Structural Representations	2018	Yuting Zhang Yijie Guo Yixin Jin Yijun Luo Zhiyuan He Honglak Lee	1
+ PDF Chat	Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis	2019	Qi Mao Hsin-Ying Lee Hung-Yu Tseng Siwei Ma Ming–Hsuan Yang	1
+	Unsupervised learning of object frames by dense equivariant image labelling	2017	James Thewlis Hakan Bilen Andrea Vedaldi	1
+ PDF Chat	Arbitrary Style Transfer in Real-Time with Adaptive Instance Normalization	2017	Xun Huang Serge Belongie	1
+	Discriminative Unsupervised Feature Learning with Convolutional Neural Networks	2014	Alexey Dosovitskiy Jost Tobias Springenberg Martin Riedmiller Thomas Brox	1