Generating High Fidelity Images with Subscale Pixel Networks and Multidimensional Upscaling

4 December 2018

Papers citing "Generating High Fidelity Images with Subscale Pixel Networks and Multidimensional Upscaling"

39 / 39 papers shown

Title
PAID: A Framework of Product-Centric Advertising Image Design Hongyu Chen Min Zhou Jing Jiang Jiale Chen Yang Lu Bo Xiao T. Ge Bo Zheng DiffM VLM 38 0 0 24 Jan 2025
Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps Henry Li Ronen Basri Y. Kluger DiffM 54 2 0 13 Jan 2025
Is One GPU Enough? Pushing Image Generation at Higher-Resolutions with Foundation Models Athanasios Tragakis Marco Aversa Chaitanya Kaul Roderick Murray-Smith Daniele Faccio 49 2 0 11 Jun 2024
PIXAR: Auto-Regressive Language Modeling in Pixel Space Yintao Tai Xiyang Liao Alessandro Suglia Antonio Vergari MLLM 21 7 0 06 Jan 2024
AI-Generated Images as Data Source: The Dawn of Synthetic Era Zuhao Yang Fangneng Zhan Kunhao Liu Muyu Xu Shijian Lu EGVM 25 18 0 03 Oct 2023
FIT: Far-reaching Interleaved Transformers Ting-Li Chen Lala Li 19 12 0 22 May 2023
OliVaR: Improving Olive Variety Recognition using Deep Neural Networks H. Miho Giulio Pagnotta Dorjan Hitaj Fabio De Gaspari L. Mancini G. Koubouris G. Godino Mehmet Hakan C. M. Díez 19 3 0 01 Mar 2023
Hierarchical Diffusion Models for Singing Voice Neural Vocoder Naoya Takahashi Mayank Kumar Singh Yuki Mitsufuji DiffM 13 16 0 14 Oct 2022
R-MelNet: Reduced Mel-Spectral Modeling for Neural TTS Kyle Kastner Aaron Courville 25 0 0 30 Jun 2022
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding Chitwan Saharia William Chan Saurabh Saxena Lala Li Jay Whang ... Raphael Gontijo-Lopes Tim Salimans Jonathan Ho David J Fleet Mohammad Norouzi VLM 55 5,768 0 23 May 2022
Video Diffusion Models Jonathan Ho Tim Salimans Alexey A. Gritsenko William Chan Mohammad Norouzi David J. Fleet DiffM VGen 27 1,504 0 07 Apr 2022
Efficient-VDVAE: Less is more Louay Hazami Rayhane Mama Ragavan Thurairatnam BDL 19 28 0 25 Mar 2022
FedComm: Federated Learning as a Medium for Covert Communication Dorjan Hitaj Giulio Pagnotta B. Hitaj F. Pérez-Cruz L. Mancini FedML 22 10 0 21 Jan 2022
PixelPyramids: Exact Inference Models from Lossless Image Pyramids Shweta Mahajan Stefan Roth TPM 10 2 0 17 Oct 2021
DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation Gwanghyun Kim Taesung Kwon Jong Chul Ye DiffM 46 622 0 06 Oct 2021
Variational Diffusion Models Diederik P. Kingma Tim Salimans Ben Poole Jonathan Ho DiffM 47 1,057 0 01 Jul 2021
Score-based Generative Modeling in Latent Space Arash Vahdat Karsten Kreis Jan Kautz DiffM 11 656 0 10 Jun 2021
On Training Sample Memorization: Lessons from Benchmarking Generative Modeling with a Large-scale Competition C. Bai Hsuan-Tien Lin Colin Raffel Wendy Kan 16 34 0 06 Jun 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models Sam Bond-Taylor Adam Leach Yang Long Chris G. Willcocks VLM TPM 36 477 0 08 Mar 2021
Generating Images with Sparse Representations C. Nash Jacob Menick Sander Dieleman Peter W. Battaglia 19 199 0 05 Mar 2021
Predicting Video with VQVAE Jacob Walker Ali Razavi Aaron van den Oord DRL 22 66 0 02 Mar 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 60 3,507 0 18 Feb 2021
Colorization Transformer Manoj Kumar Dirk Weissenborn Nal Kalchbrenner ViT 218 156 0 08 Feb 2021
Adversarial Text-to-Image Synthesis: A Review Stanislav Frolov Tobias Hinz Federico Raue Jörn Hees Andreas Dengel EGVM 14 176 0 25 Jan 2021
Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images R. Child BDL VLM 31 336 0 20 Nov 2020
Locally Masked Convolution for Autoregressive Models Ajay Jain Pieter Abbeel Deepak Pathak DiffM OffRL 28 31 0 22 Jun 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 116 16,901 0 19 Jun 2020
Latent Video Transformer Ruslan Rakhimov Denis Volkhonskiy Alexey Artemov Denis Zorin Evgeny Burnaev VGen 31 118 0 18 Jun 2020
Predictive Sampling with Forecasting Autoregressive Models Auke Wiggers Emiel Hoogeboom BDL 20 16 0 23 Feb 2020
Augmented Normalizing Flows: Bridging the Gap Between Generative Flows and Latent Variable Models Chin-Wei Huang Laurent Dinh Aaron Courville DRL 21 87 0 17 Feb 2020
HiLLoC: Lossless Image Compression with Hierarchical Latent Variable Models James Townsend Thomas Bird Julius Kunze David Barber BDL VLM 13 56 0 20 Dec 2019
Axial Attention in Multidimensional Transformers Jonathan Ho Nal Kalchbrenner Dirk Weissenborn Tim Salimans 13 519 0 20 Dec 2019
Adversarial Video Generation on Complex Datasets Aidan Clark Jeff Donahue Karen Simonyan VGen GAN 25 74 0 15 Jul 2019
A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities Simon A. A. Kohl Bernardino Romera-Paredes Klaus H. Maier-Hein Danilo Jimenez Rezende S. M. Ali Eslami Pushmeet Kohli Andrew Zisserman Olaf Ronneberger BDL 9 88 0 30 May 2019
Generating Long Sequences with Sparse Transformers R. Child Scott Gray Alec Radford Ilya Sutskever 11 1,844 0 23 Apr 2019
High-Fidelity Image Generation With Fewer Labels Mario Lucic Michael Tschannen Marvin Ritter Xiaohua Zhai Olivier Bachem Sylvain Gelly GAN OOD 31 157 0 06 Mar 2019
Probabilistic Semantic Inpainting with Pixel Constrained CNNs Emilien Dupont S. Suresha 21 14 0 08 Oct 2018
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,740 0 26 Sep 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 227 2,543 0 25 Jan 2016