Fetching the paper…
Reading the bibliography…
We present a novel framework, InfinityGAN, for arbitrary-sized image generation.
Texture synthesis by non-parametric sampling
Alexei A Efros and Thomas K Leung · 1999
Earlier work this paper cites.
Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik Kingma and Jimmy Ba · 2015
Earlier work this paper cites.
Pixel recurrent neural networks
Aaron van den Oord, Nal Kalchbrenner, and Koray Kavukcuoglu · 2016
Earlier work this paper cites.
Learning texture manifolds with the periodic spatial gan
Urs Bergmann, Nikolay Jetchev, and Roland Vollgraf · 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.
GANs trained by a two time-scale update rule converge to a local nash equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2017
Earlier work this paper cites.
Arbitrary style transfer in real-time with adaptive instance normalization
Xun Huang and Serge Belongie · 2017
Earlier work this paper cites.
Image-to-image translation with conditional adversarial networks
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A Efros · 2017
Earlier work this paper cites.
Conditional image synthesis with auxiliary classifier GANs
Augustus Odena, Christopher Olah, and Jonathon Shlens · 2017
Earlier work this paper cites.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
Earlier work this paper cites.
Places: A 10 million image database for scene recognition
Bolei Zhou, Agata Lapedriza, Aditya Khosla, Aude Oliva, and Antonio Torralba · 2017
Earlier work this paper cites.
Copy the old or paint anew? an adversarial framework for (non-) parametric image stylization
Nikolay Jetchev, Urs Bergmann, and Gokhan Yildirim · 2018
Earlier work this paper cites.
Progressive growing of gans for improved quality, stability, and variation
Tero Karras, Timo Aila, Samuli Laine, and Jaakko Lehtinen · 2018
Earlier work this paper cites.
Which training methods for gans do actually converge?
Lars Mescheder, Andreas Geiger, and Sebastian Nowozin · 2018
Earlier work this paper cites.
Painting outside the box: Image outpainting with gans
Mark Sabini and Gili Rusak · 2018
Earlier work this paper cites.
Texturegan: Controlling deep image synthesis with texture patches
Wenqi Xian, Patsorn Sangkloy, Varun Agrawal, Amit Raj, Jingwan Lu, Chen Fang, Fisher Yu, and James Hays · 2018
Earlier work this paper cites.
The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang · 2018
Cited alongside, same era.
Tilegan: synthesis of large-scale non-homogeneous textures
Anna Frühstück, Ibraheem Alhashim, and Peter Wonka · 2019
Cited alongside, same era.
COCO-GAN: Generation by parts via conditional coordinating
Chieh Hubert Lin, Chia-Che Chang, Yu-Sheng Chen, Da-Cheng Juan, Wei Wei, and Hwann-Tzong Chen · 2019
Cited alongside, same era.
Mode seeking generative adversarial networks for diverse image synthesis
Qi Mao, Hsin-Ying Lee, Hung-Yu Tseng, Siwei Ma, and Ming-Hsuan Yang · 2019
Cited alongside, same era.
Occupancy networks: Learning 3d reconstruction in function space
Lars Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, and Andreas Geiger · 2019
Cited alongside, same era.
Edgeconnect: Structure guided image inpainting using edge prediction
Implicit neural representations with periodic activation functions
Vincent Sitzmann, Julien Martel, Alexander Bergman, David Lindell, and Gordon Wetzstein · 2020
Later among the works it cites.
Fourier features let networks learn high frequency functions in low dimensional domains
Matthew Tancik, Pratul P Srinivasan, Ben Mildenhall, Sara Fridovich-Keil, Nithin Raghavan, Utkarsh Singhal, Ravi Ramamoorthi, Jonathan T Barron, and Ren Ng · 2020
Later among the works it cites.
Improving inversion and generation diversity in stylegan using a gaussianized latent space
Jonas Wulff and Antonio Torralba · 2020
Later among the works it cites.
Understanding over-parameterization in generative adversarial networks
Yogesh Balaji, Mohammadmahdi Sajedi, Neha Mukund Kalibhat, Mucong Ding, Dominik Stöger, Mahdi Soltanolkotabi, and Soheil Feizi · 2021
Closest in time.
pi-gan: Periodic implicit generative adversarial networks for 3d-aware image synthesis
Eric R Chan, Marco Monteiro, Petr Kellnhofer, Jiajun Wu, and Gordon Wetzstein · 2021
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Kamyar Nazeri, Eric Ng, Tony Joseph, Faisal Qureshi, and Mehran Ebrahimi · 2019
Cited alongside, same era.
Deepsdf: Learning continuous signed distance functions for shape representation
Jeong Joon Park, Peter Florence, Julian Straub, Richard Newcombe, and Steven Lovegrove · 2019
Cited alongside, same era.
Generating diverse high-fidelity images with VQ-VAE-2
Ali Razavi, Aaron van den Oord, and Oriol Vinyals · 2019
Cited alongside, same era.
Singan: Learning a generative model from a single natural image
Tamar Rott Shaham, Tali Dekel, and Tomer Michaeli · 2019
Cited alongside, same era.
Ingan: Capturing and retargeting the” dna” of a natural image
Assaf Shocher, Shai Bagon, Phillip Isola, and Michal Irani · 2019
Cited alongside, same era.
Boundless: Generative adversarial networks for image extension
Piotr Teterwak, Aaron Sarna, Dilip Krishnan, Aaron Maschinot, David Belanger, Ce Liu, and William T Freeman · 2019
Cited alongside, same era.
Very long natural scenery image prediction by outpainting
Zongxin Yang, Jian Dong, Ping Liu, Yi Yang, and Shuicheng Yan · 2019
Cited alongside, same era.
Closest in time.
Learning continuous image representation with local implicit image function
Yinbo Chen, Sifei Liu, and Xiaolong Wang · 2021
Closest in time.
In&Out: Diverse image outpainting via gan inversion
Yen-Chi Cheng, Chieh Hubert Lin, Hsin-Ying Lee, Sergey Tulyakov, Jian Ren, and Ming-Hsuan Yang · 2021
Closest in time.
Unconstrained scene generation with locally conditioned radiance fields
Terrance DeVries, Miguel Angel Bautista, Nitish Srivastava, Graham W Taylor, and Joshua M Susskind · 2021
Closest in time.
Taming transformers for high-resolution image synthesis
Patrick Esser, Robin Rombach, and Bjorn Ommer · 2021
Closest in time.
Improved techniques for training single-image gans
Tobias Hinz, Matthew Fisher, Oliver Wang, and Stefan Wermter · 2021
Closest in time.
Infinite nature: Perpetual view generation of natural scenes from a single image
Andrew Liu, Richard Tucker, Varun Jampani, Ameesh Makadia, Noah Snavely, and Angjoo Kanazawa · 2021
Closest in time.
Bridging the visual gap: Wide-range image blending
Chia-Ni Lu, Ya-Chu Chang, and Wei-Chen Chiu · 2021
Closest in time.
Giraffe: Representing scenes as compositional generative neural feature fields
Michael Niemeyer and Andreas Geiger · 2021
Closest in time.
Aligning latent and image spaces to connect the unconnectable
Ivan Skorokhodov, Grigorii Sotnikov, and Mohamed Elhoseiny · 2021
Closest in time.
A good image generator is what you need for high-resolution video synthesis
Yu Tian, Jian Ren, Menglei Chai, Kyle Olszewski, Xi Peng, Dimitris N. Metaxas, and Sergey Tulyakov · 2021
Closest in time.
Positional encoding as spatial inductive bias in gans
Rui Xu, Xintao Wang, Kai Chen, Bolei Zhou, and Chen Change Loy · 2021
Closest in time.