Your Image is Secretly the Last Frame of a Pseudo Video

26 October 2024

Papers citing "Your Image is Secretly the Last Frame of a Pseudo Video"

49 / 49 papers shown

Title
Rectified Diffusion: Straightness Is Not Your Need in Rectified Flow Fu-Yun Wang Ling Yang Zhaoyang Huang Mengdi Wang Hongsheng Li 54 18 0 09 Oct 2024
Discrete Flow Matching Itai Gat Tal Remez Neta Shaul Felix Kreuk Ricky T. Q. Chen Gabriel Synnaeve Yossi Adi Y. Lipman DiffM 70 71 0 22 Jul 2024
To Compress or Not to Compress- Self-Supervised Learning and Information Theory: A Review Ravid Shwartz-Ziv Yann LeCun SSL 45 72 0 19 Apr 2023
Diffusion Schrödinger Bridge Matching Yuyang Shi Valentin De Bortoli Andrew Campbell Arnaud Doucet DiffM OT 85 82 0 29 Mar 2023
Stochastic Interpolants: A Unifying Framework for Flows and Diffusions M. S. Albergo Nicholas M. Boffi Eric Vanden-Eijnden DiffM 278 291 0 15 Mar 2023
Trading Information between Latents in Hierarchical Variational Autoencoders Tim Z. Xiao Robert Bamler DRL BDL 30 6 0 09 Feb 2023
EVA: Exploring the Limits of Masked Visual Representation Learning at Scale Yuxin Fang Wen Wang Binhui Xie Quan-Sen Sun Ledell Yu Wu Xinggang Wang Tiejun Huang Xinlong Wang Yue Cao VLM CLIP 148 702 0 14 Nov 2022
Flow Matching for Generative Modeling Y. Lipman Ricky T. Q. Chen Heli Ben-Hamu Maximilian Nickel Matt Le OOD 114 1,189 0 06 Oct 2022
Phenaki: Variable Length Video Generation From Open Domain Textual Description Ruben Villegas Mohammad Babaeizadeh Pieter-Jan Kindermans Hernan Moraldo Han Zhang M. Saffar Santiago Castro Julius Kunze D. Erhan DiffM VGen 99 381 0 05 Oct 2022
Blurring Diffusion Models Emiel Hoogeboom Tim Salimans DiffM 57 78 0 12 Sep 2022
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow Xingchao Liu Chengyue Gong Qiang Liu OOD 92 960 0 07 Sep 2022
Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise Arpit Bansal Eitan Borgnia Hong-Min Chu Jie S. Li Hamid Kazemi Furong Huang Micah Goldblum Jonas Geiping Tom Goldstein VLM DiffM 57 266 0 19 Aug 2022
Generative Modelling With Inverse Heat Dissipation Severi Rissanen Markus Heinonen Arno Solin DiffM 31 112 0 21 Jun 2022
Flexible Diffusion Modeling of Long Videos William Harvey Saeid Naderiparizi Vaden Masrani Christian D. Weilbach Frank Wood DiffM BDL VGen 190 293 0 23 May 2022
MaskGIT: Masked Generative Image Transformer Huiwen Chang Han Zhang Lu Jiang Ce Liu William T. Freeman ViT 85 664 0 08 Feb 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 265 15,081 0 20 Dec 2021
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 373 7,600 0 11 Nov 2021
Variational Diffusion Models Diederik P. Kingma Tim Salimans Ben Poole Jonathan Ho DiffM 140 1,089 0 01 Jul 2021
A Variational Perspective on Diffusion-Based Generative Models and Score Matching Chin-Wei Huang Jae Hyun Lim Aaron Courville DiffM 67 189 0 05 Jun 2021
VideoGPT: Video Generation using VQ-VAE and Transformers Wilson Yan Yunzhi Zhang Pieter Abbeel A. Srinivas ViT VGen 283 495 0 20 Apr 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 184 3,621 0 18 Feb 2021
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 268 6,293 0 26 Nov 2020
Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images R. Child BDL VLM 164 343 0 20 Nov 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 147 7,166 0 06 Oct 2020
NVAE: A Deep Hierarchical Variational Autoencoder Arash Vahdat Jan Kautz BDL 58 900 0 08 Jul 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 299 17,550 0 19 Jun 2020
Self-supervised Learning: Generative or Contrastive Xiao Liu Fanjin Zhang Zhenyu Hou Zhaoyu Wang Li Mian Jing Zhang Jie Tang SSL 99 1,604 0 15 Jun 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 500 41,106 0 28 May 2020
On Mutual Information in Contrastive Learning for Visual Representations Mike Wu Chengxu Zhuang Milan Mossé Daniel L. K. Yamins Noah D. Goodman SSL 44 83 0 27 May 2020
What Makes for Good Views for Contrastive Learning? Yonglong Tian Chen Sun Ben Poole Dilip Krishnan Cordelia Schmid Phillip Isola SSL 75 1,313 0 20 May 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 212 10,591 0 17 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 255 18,607 0 13 Feb 2020
Analyzing and Improving the Image Quality of StyleGAN Tero Karras S. Laine M. Aittala Janne Hellsten J. Lehtinen Timo Aila GAN 256 5,769 0 03 Dec 2019
Variational Autoencoders and Nonlinear ICA: A Unifying Framework Ilyes Khemakhem Diederik P. Kingma Ricardo Pio Monti Aapo Hyvarinen OOD 51 578 0 10 Jul 2019
BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling Lars Maaløe Marco Fraccaro Valentin Liévin Ole Winther BDL DRL 40 213 0 06 Feb 2019
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations Francesco Locatello Stefan Bauer Mario Lucic Gunnar Rätsch Sylvain Gelly Bernhard Schölkopf Olivier Bachem OOD 96 1,451 0 29 Nov 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 961 93,936 0 11 Oct 2018
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 232 5,024 0 19 Jun 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric Richard Y. Zhang Phillip Isola Alexei A. Efros Eli Shechtman Oliver Wang EGVM 297 11,610 0 11 Jan 2018
Neural Discrete Representation Learning Aaron van den Oord Oriol Vinyals Koray Kavukcuoglu BDL SSL OCL 161 4,928 0 02 Nov 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 453 129,831 0 12 Jun 2017
PixelVAE: A Latent Variable Model for Natural Images Ishaan Gulrajani Kundan Kumar Faruk Ahmed Adrien Ali Taïga Francesco Visin David Vazquez Aaron Courville DRL SSL BDL 60 340 0 15 Nov 2016
Improving Variational Inference with Inverse Autoregressive Flow Diederik P. Kingma Tim Salimans Rafal Jozefowicz Xi Chen Ilya Sutskever Max Welling BDL DRL 83 1,805 0 15 Jun 2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution Justin Johnson Alexandre Alahi Li Fei-Fei SupR 185 10,202 0 27 Mar 2016
A Structured Variational Auto-encoder for Learning Deep Hierarchies of Sparse Features Tim Salimans DRL BDL CML 71 19 0 28 Feb 2016
Ladder Variational Autoencoders C. Sønderby T. Raiko Lars Maaløe Søren Kaae Sønderby Ole Winther BDL DRL 77 909 0 06 Feb 2016
Importance Weighted Autoencoders Yuri Burda Roger C. Grosse Ruslan Salakhutdinov BDL 208 1,240 0 01 Sep 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 181 6,780 0 12 Mar 2015
Deep Learning Face Attributes in the Wild Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 212 8,351 0 28 Nov 2014