Fetching the paper…
Reading the bibliography…
The manipulation of latent space has recently become an interesting topic in the field of generative models.
Principal component analysis
Svante Wold, Kim Esbensen, and Paul Geladi · 1987
Earlier work this paper cites.
A morphable model for the synthesis of 3d faces
Volker Blanz and Thomas Vetter · 1999
Earlier work this paper cites.
Face alignment via boosted ranking model
Hao Wu, Xiaoming Liu, and Gianfranco Doretto · 2008
Earlier work this paper cites.
Review of statistical shape spaces for 3d data with comparative analysis for human faces
Alan Brunton, Augusto Salazar, Timo Bolkart, and Stefanie Wuhrer · 2014
Earlier work this paper cites.
Beyond principal components: Deep boltzmann machines for face modeling
Chi Nhan Duong, Khoa Luu, Kha Gia Quach, and Tien D. Bui · 2015
Earlier work this paper cites.
Pose-invariant 3d face alignment
Amin Jourabloo and Xiaoming Liu · 2015
Earlier work this paper cites.
Category-specific object reconstruction from a single image
Abhishek Kar, Shubham Tulsiani, Joao Carreira, and Jitendra Malik · 2015
Earlier work this paper cites.
3d-r2n2: A unified approach for single and multi-view 3d object reconstruction
Christopher B Choy, Danfei Xu, JunYoung Gwak, Kevin Chen, and Silvio Savarese · 2016
Earlier work this paper cites.
Mesh convolutional restricted boltzmann machines for unsupervised learning of features with structure preservation on 3-d meshes
Zhizhong Han, Zhenbao Liu, Junwei Han, Chi-Man Vong, Shuhui Bu, and Chun Lung Philip Chen · 2016
Earlier work this paper cites.
Large-pose face alignment via cnn-based dense 3d model fitting
Amin Jourabloo and Xiaoming Liu · 2016
Earlier work this paper cites.
Adaptive 3d face reconstruction from unconstrained photo collections
Joseph Roth, Y. Tong, and Xiaoming Liu · 2016
Earlier work this paper cites.
3d face morphable models ”in-the-wild”
James Booth, Epameinondas Antonakos, Stylianos Ploumpis, George Trigeorgis, Yannis Panagakis, and Stefanos Zafeiriou · 2017
Earlier work this paper cites.
A point set generation network for 3d object reconstruction from a single image
Haoqiang Fan, Hao Su, and Leonidas J Guibas · 2017
Earlier work this paper cites.
Improved training of wasserstein gans
Ishaan Gulrajani, Faruk Ahmed, Martín Arjovsky, Vincent Dumoulin, and Aaron C. Courville · 2017
Earlier work this paper cites.
Pose-invariant face alignment with a single cnn
Amin Jourabloo, Mao Ye, Xiaoming Liu, and Liu Ren · 2017
Earlier work this paper cites.
Pointnet: Deep learning on point sets for 3d classification and segmentation
Charles R Qi, Hao Su, Kaichun Mo, and Leonidas J Guibas · 2017
Earlier work this paper cites.
Unrestricted facial geometry reconstruction using image-to-image translation
Matan Sela, Elad Richardson, and Ron Kimmel · 2017
Earlier work this paper cites.
Regressing robust and discriminative 3d morphable models with a very deep neural network
A. Tran, Tal Hassner, Iacopo Masi, and Gérard G. Medioni · 2017
Earlier work this paper cites.
Learning representations and generative models for 3d point clouds
Panos Achlioptas, Olga Diamanti, Ioannis Mitliagkas, and Leonidas J. Guibas · 2018
Earlier work this paper cites.
Large scale GAN training for high fidelity natural image synthesis
Andrew Brock, Jeff Donahue, and Karen Simonyan · 2018
Earlier work this paper cites.
Uv-gan: Adversarial facial uv map completion for pose-invariant face recognition
Jiankang Deng, Shiyang Cheng, Niannan Xue, Yuxiang Zhou, and Stefanos Zafeiriou · 2018
Cited alongside, same era.
AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation
Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan Russell, and Mathieu Aubry · 2018
Cited alongside, same era.
3d face reconstruction with geometry details from a single image
Luo Jiang, Juyong Zhang, Bailin Deng, Hao Li, and Ligang Liu · 2018
Cited alongside, same era.
Progressive growing of gans for improved quality, stability, and variation, 2018
Tero Karras, Timo Aila, Samuli Laine, and Jaakko Lehtinen · 2018
Cited alongside, same era.
Progressive growing of gans for improved quality, stability, and variation
Tero Karras, Timo Aila, Samuli Laine, and Jaakko Lehtinen · 2018
Cited alongside, same era.
Deep facial non-rigid multi-view stereo
Ziqian Bai, Zhaopeng Cui, Jamal Ahmed Rahim, Xiaoming Liu, and Ping Tan · 2020
Later among the works it cites.
Synthesizing coupled 3d face modalities by trunk-branch generative adversarial networks
Baris Gecer, Alexandros Lattas, Stylianos Ploumpis, Jiankang Deng, Athanasios Papaioannou, Stylianos Moschoglou, and Stefanos Zafeiriou · 2020
Later among the works it cites.
Ganspace: Discovering interpretable gan controls
Erik Härkönen, Aaron Hertzmann, Jaakko Lehtinen, and Sylvain Paris · 2020
Later among the works it cites.
Progressive point cloud deconvolution generation network
Le Hui, Rui Xu, Jin Xie, Jianjun Qian, and Jian Yang · 2020
Later among the works it cites.
Analyzing and improving the image quality of stylegan
Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, and Timo Aila · 2020
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Learning efficient point cloud generation for dense 3d object reconstruction
Chen-Hsuan Lin, Chen Kong, and Simon Lucey · 2018
Cited alongside, same era.
Self-supervised multi-level face model learning for monocular reconstruction at over 250 hz
Ayush Tewari, Michael Zollhöfer, Pablo Garrido, Florian Bernard, Hyeongwoo Kim, Patrick Pérez, and Christian Theobalt · 2018
Cited alongside, same era.
Learning implicit fields for generative shape modeling
Zhiqin Chen and Hao Zhang · 2019
Cited alongside, same era.
Arcface: Additive angular margin loss for deep face recognition
Jiankang Deng, J. Guo, and S. Zafeiriou · 2019
Cited alongside, same era.
Ganfit: Generative adversarial network fitting for high fidelity 3d face reconstruction
Baris Gecer, Stylianos Ploumpis, Irene Kotsia, and Stefanos Zafeiriou · 2019
Cited alongside, same era.
Ganalyze: Toward visual definitions of cognitive image properties
Lore Goetschalckx, Alex Andonian, Aude Oliva, and Phillip Isola · 2019
Cited alongside, same era.
Meshcnn: a network with an edge
Rana Hanocka, Amir Hertz, Noa Fish, Raja Giryes, Shachar Fleishman, and Daniel Cohen-Or · 2019
Cited alongside, same era.
Accelerating 3d deep learning with pytorch3d
Nikhila Ravi, Jeremy Reizenstein, David Novotný, Taylor Gordon, Wan-Yen Lo, Justin Johnson, and Georgia Gkioxari · 2020
Later among the works it cites.
Interfacegan: Interpreting the disentangled face representation learned by gans
Yujun Shen, Ceyuan Yang, Xiaoou Tang, and Bolei Zhou · 2020
Later among the works it cites.
Closed-form factorization of latent semantics in gans
Yujun Shen and Bolei Zhou · 2020
Later among the works it cites.
Unsupervised discovery of interpretable directions in the gan latent space
Andrey Voynov and Artem Babenko · 2020
Later among the works it cites.
Intuitive shape editing in latent space
Tim Elsner, Moritz Ibing, Victor Czech, Julius Nehring-Wirxel, and Leif P. Kobbelt · 2021
Later among the works it cites.
Sketch2mesh: Reconstructing and editing 3d shapes from sketches
Benoit Guillard, Edoardo Remelli, Pierre Yvernay, and P. Fua · 2021
Later among the works it cites.
Stylemc: Multi-channel based fast text-guided image generation and manipulation
Umut Kocasari, Alara Dirik, Mert Tiftikci, and Pinar Yanardag · 2021
Later among the works it cites.
Sp-gan: Sphere-guided 3d shape generation and manipulation
Ruihui Li, Xianzhi Li, Ka-Hei Hui, and Chi-Wing Fu · 2021
Later among the works it cites.
Text2mesh: Text-driven neural stylization for meshes
Oscar Jarillo Michel, Roi Bar-On, Richard Liu, Sagie Benaim, and Rana Hanocka · 2021
Later among the works it cites.
Styleclip: Text-driven manipulation of stylegan imagery
Or Patashnik, Zongze Wu, Eli Shechtman, Daniel Cohen-Or, and Dani Lischinski · 2021
Later among the works it cites.
Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
Later among the works it cites.
H3d-net: Few-shot high-fidelity 3d head reconstruction
Eduard Ramon, Gil Triginer, Janna Escur, Albert Pumarola, Jaime Garcia Giraldez, Xavier Giró i Nieto, and Francesc Moreno-Noguer · 2021
Later among the works it cites.
Clip-forge: Towards zero-shot text-to-shape generation
Aditya Sanghi, Hang Chu, J. Lambourne, Ye Wang, Chin-Yi Cheng, and Marco Fumero · 2021
Later among the works it cites.
Clip-nerf: Text-and-image driven manipulation of neural radiance fields
Can Wang, Menglei Chai, Mingming He, Dongdong Chen, and Jing Liao · 2021
Later among the works it cites.
Latentclr: A contrastive learning approach for unsupervised discovery of interpretable directions
Oğuz Kaan Yüksel, Enis Simsar, Ezgi Gülperi Er, and Pinar Yanardag · 2021
Later among the works it cites.