Generative AI in Vision: A Survey on Models, Metrics and Applications

26 February 2024

Papers citing "Generative AI in Vision: A Survey on Models, Metrics and Applications"

42 / 42 papers shown

Title
Implicit Diffusion Models for Continuous Super-Resolution Sicheng Gao Xuhui Liu Bo-Wen Zeng Sheng Xu Yanjing Li Xiaonan Luo Jianzhuang Liu Xiantong Zhen Baochang Zhang DiffM 97 228 0 29 Mar 2023
Imagen Video: High Definition Video Generation with Diffusion Models Jonathan Ho William Chan Chitwan Saharia Jay Whang Ruiqi Gao ... Diederik P. Kingma Ben Poole Mohammad Norouzi David J. Fleet Tim Salimans VGen 149 1,528 0 05 Oct 2022
Re-Imagen: Retrieval-Augmented Text-to-Image Generator Wenhu Chen Hexiang Hu Chitwan Saharia William W. Cohen VLM 164 174 0 29 Sep 2022
SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution Dafeng Zhang Feiyu Huang Shizhuo Liu Xiaobing Wang Zhezhu Jin 61 94 0 24 Aug 2022
Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Jiahui Yu Yuanzhong Xu Jing Yu Koh Thang Luong Gunjan Baid ... Zarana Parekh Xin Li Han Zhang Jason Baldridge Yonghui Wu EGVM 187 1,121 0 22 Jun 2022
Activating More Pixels in Image Super-Resolution Transformer Xiangyu Chen Xintao Wang Jiantao Zhou Yu Qiao Chao Dong ViT 140 630 0 09 May 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 401 6,866 0 13 Apr 2022
A survey on GANs for computer vision: Recent research, analysis and taxonomy Guillermo Iglesias Edgar Talavera Alberto Díaz-Álvarez EGVM AI4TS 75 60 0 21 Mar 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models Andreas Lugmayr Martin Danelljan Andrés Romero Feng Yu Radu Timofte Luc Van Gool DiffM 349 1,409 0 24 Jan 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 422 15,515 0 20 Dec 2021
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models Alex Nichol Prafulla Dhariwal Aditya A. Ramesh Pranav Shyam Pamela Mishkin Bob McGrew Ilya Sutskever Mark Chen 341 3,605 0 20 Dec 2021
FastFlow: Unsupervised Anomaly Detection and Localization via 2D Normalizing Flows Jiawei Yu1 Ye Zheng Xiang Wang Wei Li Yushuang Wu Rui Zhao Liwei Wu 61 311 0 15 Nov 2021
Vector-quantized Image Modeling with Improved VQGAN Jiahui Yu Xin Li Jing Yu Koh Han Zhang Ruoming Pang James Qin Alexander Ku Yuanzhong Xu Jason Baldridge Yonghui Wu ViT VLM DRL 114 519 0 09 Oct 2021
CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows Denis A. Gudovskiy Shun Ishizaka Kazuki Kozuka 112 401 0 27 Jul 2021
SRDiff: Single Image Super-Resolution with Diffusion Probabilistic Models Haoying Li Yifan Yang Meng Chang H. Feng Zhi-hai Xu Qi Li Yue-ting Chen DiffM 67 634 0 30 Apr 2021
CLIPScore: A Reference-free Evaluation Metric for Image Captioning Jack Hessel Ari Holtzman Maxwell Forbes Ronan Le Bras Yejin Choi CLIP 139 1,561 0 18 Apr 2021
Large Scale Image Completion via Co-Modulated Generative Adversarial Networks Shengyu Zhao Jianwei Cui Yilun Sheng Yue Dong Xiao Liang E. Chang Yan Xu 99 290 0 18 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 98 500 0 08 Mar 2021
Diffusion Probabilistic Models for 3D Point Cloud Generation Shitong Luo Wei Hu 3DPC 257 745 0 02 Mar 2021
GLEAN: Generative Latent Bank for Large-Factor Image Super-Resolution Kelvin C. K. Chan Xintao Wang Xiangyu Xu Liang Feng Chen Change Loy 81 254 0 01 Dec 2020
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 338 6,480 0 26 Nov 2020
Improved Techniques for Training Score-Based Generative Models Yang Song Stefano Ermon DiffM 243 1,151 0 16 Jun 2020
Normalizing Flows for Probabilistic Modeling and Inference George Papamakarios Eric T. Nalisnick Danilo Jimenez Rezende S. Mohamed Balaji Lakshminarayanan TPM AI4CE 207 1,697 0 05 Dec 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 258 3,916 0 12 Jul 2019
An Introduction to Variational Autoencoders Diederik P. Kingma Max Welling BDL SSL DRL 80 2,354 0 06 Jun 2019
Sliced Score Matching: A Scalable Approach to Density and Score Estimation Yang Song Sahaj Garg Jiaxin Shi Stefano Ermon 110 417 0 17 May 2019
Improved Precision and Recall Metric for Assessing Generative Models Tuomas Kynkaanniemi Tero Karras S. Laine J. Lehtinen Timo Aila EGVM 97 862 0 15 Apr 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 583 10,561 0 12 Dec 2018
SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing Taku Kudo John Richardson 196 3,520 0 19 Aug 2018
Assessing Generative Models via Precision and Recall Mehdi S. M. Sajjadi Olivier Bachem Mario Lucic Olivier Bousquet Sylvain Gelly EGVM 78 577 0 31 May 2018
Generative Adversarial Networks: An Overview Antonia Creswell Tom White Vincent Dumoulin Kai Arulkumaran B. Sengupta Anil A Bharath GAN 111 3,051 0 19 Oct 2017
Towards Principled Methods for Training Generative Adversarial Networks Martín Arjovsky M. Nault GAN 81 2,109 0 17 Jan 2017
NIPS 2016 Tutorial: Generative Adversarial Networks Ian Goodfellow GAN 165 1,725 0 31 Dec 2016
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network C. Ledig Lucas Theis Ferenc Huszár Jose Caballero Andrew Cunningham ... Andrew P. Aitken Alykhan Tejani J. Totz Zehan Wang Wenzhe Shi GAN 242 10,693 0 15 Sep 2016
WaveNet: A Generative Model for Raw Audio Aaron van den Oord Sander Dieleman Heiga Zen Karen Simonyan Oriol Vinyals Alex Graves Nal Kalchbrenner A. Senior Koray Kavukcuoglu DiffM 406 7,399 0 12 Sep 2016
Conditional Image Generation with PixelCNN Decoders Aaron van den Oord Nal Kalchbrenner Oriol Vinyals L. Espeholt Alex Graves Koray Kavukcuoglu VLM 204 2,513 0 16 Jun 2016
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization Sebastian Nowozin Botond Cseke Ryota Tomioka GAN 151 1,656 0 02 Jun 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 266 78 0 26 May 2016
Neural Autoregressive Distribution Estimation Benigno Uria Marc-Alexandre Côté Karol Gregor Iain Murray Hugo Larochelle 81 314 0 07 May 2016
Generating Images from Captions with Attention Elman Mansimov Emilio Parisotto Jimmy Lei Ba Ruslan Salakhutdinov VLM 79 457 0 09 Nov 2015
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 465 43,658 0 17 Sep 2014
Generating Sequences With Recurrent Neural Networks Alex Graves GAN 155 4,034 0 04 Aug 2013