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"

50 / 56 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 43 0 0 24 Jan 2025
Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps Henry Li Ronen Basri Y. Kluger DiffM 59 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 57 2 0 11 Jun 2024
PIXAR: Auto-Regressive Language Modeling in Pixel Space Yintao Tai Xiyang Liao Alessandro Suglia Antonio Vergari MLLM 26 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 31 18 0 03 Oct 2023
FIT: Far-reaching Interleaved Transformers Ting-Li Chen Lala Li 32 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 32 3 0 01 Mar 2023
Denoising diffusion algorithm for inverse design of microstructures with fine-tuned nonlinear material properties Nikolaos N. Vlassis WaiChing Sun AI4CE DiffM 22 46 0 24 Feb 2023
Fine-grained Image Editing by Pixel-wise Guidance Using Diffusion Models Naoki Matsunaga Masato Ishii Akio Hayakawa Kenji Suzuki T. Narihira DiffM 52 13 0 05 Dec 2022
Hierarchical Diffusion Models for Singing Voice Neural Vocoder Naoya Takahashi Mayank Kumar Singh Yuki Mitsufuji DiffM 29 16 0 14 Oct 2022
R-MelNet: Reduced Mel-Spectral Modeling for Neural TTS Kyle Kastner Aaron Courville 35 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 96 5,800 0 23 May 2022
Subspace Diffusion Generative Models Bowen Jing Gabriele Corso Renato Berlinghieri Tommi Jaakkola DiffM 33 75 0 03 May 2022
Video Diffusion Models Jonathan Ho Tim Salimans Alexey A. Gritsenko William Chan Mohammad Norouzi David J. Fleet DiffM VGen 70 1,526 0 07 Apr 2022
Efficient-VDVAE: Less is more Louay Hazami Rayhane Mama Ragavan Thurairatnam BDL 29 28 0 25 Mar 2022
FedComm: Federated Learning as a Medium for Covert Communication Dorjan Hitaj Giulio Pagnotta Briland Hitaj Fernando Perez-Cruz L. Mancini FedML 32 10 0 21 Jan 2022
Multimodal Image Synthesis and Editing: The Generative AI Era Fangneng Zhan Yingchen Yu Rongliang Wu Jiahui Zhang Shijian Lu Lingjie Liu Adam Kortylewski Christian Theobalt Eric Xing EGVM 36 48 0 27 Dec 2021
Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes Sam Bond-Taylor P. Hessey Hiroshi Sasaki T. Breckon Chris G. Willcocks DiffM 27 71 0 24 Nov 2021
PixelPyramids: Exact Inference Models from Lossless Image Pyramids Shweta Mahajan Stefan Roth TPM 12 2 0 17 Oct 2021
DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation Gwanghyun Kim Taesung Kwon Jong Chul Ye DiffM 72 625 0 06 Oct 2021
Autoregressive Diffusion Models Emiel Hoogeboom Alexey A. Gritsenko Jasmijn Bastings Ben Poole Rianne van den Berg Tim Salimans DiffM 45 145 0 05 Oct 2021
StyleVideoGAN: A Temporal Generative Model using a Pretrained StyleGAN Gereon Fox A. Tewari Mohamed A. Elgharib Christian Theobalt 169 52 0 15 Jul 2021
Combiner: Full Attention Transformer with Sparse Computation Cost Hongyu Ren H. Dai Zihang Dai Mengjiao Yang J. Leskovec Dale Schuurmans Bo Dai 87 77 0 12 Jul 2021
Evaluating Large Language Models Trained on Code Mark Chen Jerry Tworek Heewoo Jun Qiming Yuan Henrique Pondé ... Bob McGrew Dario Amodei Sam McCandlish Ilya Sutskever Wojciech Zaremba ELM ALM 83 5,135 0 07 Jul 2021
Variational Diffusion Models Diederik P. Kingma Tim Salimans Ben Poole Jonathan Ho DiffM 88 1,063 0 01 Jul 2021
Score-based Generative Modeling in Latent Space Arash Vahdat Karsten Kreis Jan Kautz DiffM 16 659 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 18 34 0 06 Jun 2021
Cascaded Diffusion Models for High Fidelity Image Generation Jonathan Ho Chitwan Saharia William Chan David J. Fleet Mohammad Norouzi Tim Salimans 78 1,180 0 30 May 2021
Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling DJordje Miladinović Aleksandar Stanić Stefan Bauer Jürgen Schmidhuber J. M. Buhmann DRL 15 9 0 16 Mar 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 41 483 0 08 Mar 2021
Generating Images with Sparse Representations C. Nash Jacob Menick Sander Dieleman Peter W. Battaglia 33 200 0 05 Mar 2021
Predicting Video with VQVAE Jacob Walker Ali Razavi Aaron van den Oord DRL 24 67 0 02 Mar 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 60 3,541 0 18 Feb 2021
Colorization Transformer Manoj Kumar Dirk Weissenborn Nal Kalchbrenner ViT 232 156 0 08 Feb 2021
Adversarial Text-to-Image Synthesis: A Review Stanislav Frolov Tobias Hinz Federico Raue Jörn Hees Andreas Dengel EGVM 27 175 0 25 Jan 2021
Taming Transformers for High-Resolution Image Synthesis Patrick Esser Robin Rombach Bjorn Ommer ViT 64 2,831 0 17 Dec 2020
Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images R. Child BDL VLM 56 339 0 20 Nov 2020
Locally Masked Convolution for Autoregressive Models Ajay Jain Pieter Abbeel Deepak Pathak DiffM OffRL 39 31 0 22 Jun 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 118 17,084 0 19 Jun 2020
Latent Video Transformer Ruslan Rakhimov Denis Volkhonskiy Alexey Artemov Denis Zorin Evgeny Burnaev VGen 33 119 0 18 Jun 2020
A U-Net Based Discriminator for Generative Adversarial Networks Edgar Schönfeld Bernt Schiele Anna Khoreva GAN 30 292 0 28 Feb 2020
Predictive Sampling with Forecasting Autoregressive Models Auke Wiggers Emiel Hoogeboom BDL 33 16 0 23 Feb 2020
Convolutional Tensor-Train LSTM for Spatio-temporal Learning Jiahao Su Wonmin Byeon Jean Kossaifi Furong Huang Jan Kautz Anima Anandkumar AI4TS 19 119 0 21 Feb 2020
Augmented Normalizing Flows: Bridging the Gap Between Generative Flows and Latent Variable Models Chin-Wei Huang Laurent Dinh Aaron Courville DRL 31 87 0 17 Feb 2020
HiLLoC: Lossless Image Compression with Hierarchical Latent Variable Models James Townsend Thomas Bird Julius Kunze David Barber BDL VLM 21 56 0 20 Dec 2019
Axial Attention in Multidimensional Transformers Jonathan Ho Nal Kalchbrenner Dirk Weissenborn Tim Salimans 36 519 0 20 Dec 2019
Adversarial Video Generation on Complex Datasets Aidan Clark Jeff Donahue Karen Simonyan VGen GAN 27 74 0 15 Jul 2019
Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation Wenjie Shang Yang Yu Qingyang Li Zhiwei Qin Yiping Meng Jieping Ye CML 19 51 0 12 Jul 2019
Generating Diverse High-Fidelity Images with VQ-VAE-2 Ali Razavi Aaron van den Oord Oriol Vinyals DRL BDL 21 1,770 0 02 Jun 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 27 88 0 30 May 2019