Scalable Adaptive Computation for Iterative Generation

22 December 2022

David Fleet

Papers citing "Scalable Adaptive Computation for Iterative Generation"

44 / 94 papers shown

Title
Switch Diffusion Transformer: Synergizing Denoising Tasks with Sparse Mixture-of-Experts Byeongjun Park Hyojun Go Jin-Young Kim Sangmin Woo Seokil Ham Changick Kim DiffM MoE 51 13 0 14 Mar 2024
Fake or Compromised? Making Sense of Malicious Clients in Federated Learning Hamid Mozaffari Sunav Choudhary Amir Houmansadr 27 2 0 10 Mar 2024
Implicit Image-to-Image Schrodinger Bridge for Image Restoration Yuang Wang Siyeop Yoon Pengfei Jin Matthew Tivnan Zhennong Chen ... Rui Hu Zhiqiang Chen Quanzheng Li Dufan Wu Dufan Wu DiffM MedIm 42 1 0 10 Mar 2024
Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models Yixin Liu Kai Zhang Yuan Li Zhiling Yan Chujie Gao ... Yue Huang Hanchi Sun Jianfeng Gao Lifang He Lichao Sun VLM VGen EGVM 75 257 0 27 Feb 2024
Disentangled 3D Scene Generation with Layout Learning Dave Epstein Ben Poole B. Mildenhall Alexei A. Efros Aleksander Holynski CoGe OCL 3DV 48 20 0 26 Feb 2024
The Uncanny Valley: A Comprehensive Analysis of Diffusion Models Karam Ghanem Danilo Bzdok DiffM 31 0 0 20 Feb 2024
Rolling Diffusion Models David Ruhe Jonathan Heek Tim Salimans Emiel Hoogeboom DiffM 35 33 0 12 Feb 2024
Denoising Diffusion via Image-Based Rendering Titas Anciukevicius Fabian Manhardt Federico Tombari Paul Henderson 42 11 0 05 Feb 2024
SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers Nanye Ma Mark Goldstein M. S. Albergo Nicholas M. Boffi Eric Vanden-Eijnden Saining Xie DiffM 29 162 0 16 Jan 2024
VolumeDiffusion: Flexible Text-to-3D Generation with Efficient Volumetric Encoder Zhicong Tang Shuyang Gu Chunyu Wang Ting Zhang Jianmin Bao Dongdong Chen Baining Guo DiffM 27 23 0 18 Dec 2023
Latent Space Editing in Transformer-Based Flow Matching Vincent Tao Hu David W. Zhang Pascal Mettes Meng Tang Deli Zhao Cees G. M. Snoek 42 29 0 17 Dec 2023
Continuous Diffusion for Mixed-Type Tabular Data Markus Mueller Kathrin Gruber Dennis Fok DiffM 53 5 0 16 Dec 2023
Photorealistic Video Generation with Diffusion Models Agrim Gupta Lijun Yu Kihyuk Sohn Xiuye Gu Meera Hahn Fei-Fei Li Irfan Essa Lu Jiang José Lezama VGen 41 174 0 11 Dec 2023
Diffusion for Natural Image Matting Yihan Hu Yiheng Lin Wei Wang Yao-Min Zhao Yunchao Wei Humphrey Shi 28 7 0 10 Dec 2023
Analyzing and Improving the Training Dynamics of Diffusion Models Tero Karras M. Aittala J. Lehtinen Janne Hellsten Timo Aila S. Laine 28 155 0 05 Dec 2023
Fully Spiking Denoising Diffusion Implicit Models Ryo Watanabe Yusuke Mukuta Tatsuya Harada DiffM 21 3 0 04 Dec 2023
Perceptual Group Tokenizer: Building Perception with Iterative Grouping Zhiwei Deng Ting Chen Yang Li ViT VLM 21 2 0 30 Nov 2023
SODA: Bottleneck Diffusion Models for Representation Learning Drew A. Hudson Daniel Zoran Mateusz Malinowski Andrew Kyle Lampinen Andrew Jaegle James L. McClelland Loic Matthey Felix Hill Alexander Lerchner DiffM 25 47 0 29 Nov 2023
Swallowing the Bitter Pill: Simplified Scalable Conformer Generation Yuyang Wang Ahmed A. A. Elhag Navdeep Jaitly J. Susskind Miguel Angel Bautista DiffM 27 20 0 27 Nov 2023
Matryoshka Diffusion Models Jiatao Gu Shuangfei Zhai Yizhen Zhang Joshua M. Susskind Navdeep Jaitly DiffM 16 43 0 23 Oct 2023
Improved Techniques for Training Consistency Models Yang Song Prafulla Dhariwal 29 147 0 22 Oct 2023
Denoising Task Routing for Diffusion Models Byeongjun Park Sangmin Woo Hyojun Go Jin-Young Kim Changick Kim DiffM 14 18 0 11 Oct 2023
Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation Lijun Yu José Lezama N. B. Gundavarapu Luca Versari Kihyuk Sohn ... Boqing Gong Ming-Hsuan Yang Irfan Essa David A. Ross Lu Jiang 12 278 0 09 Oct 2023
Beta Diffusion Mingyuan Zhou Tianqi Chen Zhendong Wang Huangjie Zheng DiffM 16 10 0 14 Sep 2023
DiffCR: A Fast Conditional Diffusion Framework for Cloud Removal from Optical Satellite Images Xuechao Zou K. Li Junliang Xing Yu-an Zhang Shiying Wang Lei Jin Pin Tao DiffM 21 27 0 08 Aug 2023
Fast Training of Diffusion Models with Masked Transformers Hongkai Zheng Weili Nie Arash Vahdat Anima Anandkumar DiffM 39 68 0 15 Jun 2023
On the Design Fundamentals of Diffusion Models: A Survey Ziyi Chang G. Koulieris Hubert P. H. Shum DiffM 29 53 0 07 Jun 2023
A Unified Framework for U-Net Design and Analysis Christopher Williams Fabian Falck George Deligiannidis Chris Holmes Arnaud Doucet Saifuddin Syed SSeg AI4CE 41 33 0 31 May 2023
One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models Ba-Hien Tran Giulio Franzese Pietro Michiardi Maurizio Filippone DiffM 23 3 0 30 May 2023
High-Fidelity Image Compression with Score-based Generative Models Emiel Hoogeboom E. Agustsson Fabian Mentzer Luca Versari G. Toderici Lucas Theis DiffM 21 37 0 26 May 2023
FIT: Far-reaching Interleaved Transformers Ting-Li Chen Lala Li 21 12 0 22 May 2023
Synthetic Data from Diffusion Models Improves ImageNet Classification Shekoofeh Azizi Simon Kornblith Chitwan Saharia Mohammad Norouzi David J. Fleet VLM DiffM 40 288 0 17 Apr 2023
$$\infty$-Diff: Infinite Resolution Diffusion with Subsampled Mollified States$ $\infty$ -Diff: Infinite Resolution Diffusion with Subsampled Mollified States Sam Bond-Taylor Chris G. Willcocks 32 15 0 31 Mar 2023
Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation Diederik P. Kingma Ruiqi Gao DiffM 18 123 0 01 Mar 2023
Simple diffusion: End-to-end diffusion for high resolution images Emiel Hoogeboom Jonathan Heek Tim Salimans 14 248 0 26 Jan 2023
On the Importance of Noise Scheduling for Diffusion Models Ting Chen DiffM 15 147 0 26 Jan 2023
Scalable Diffusion Models with Transformers William S. Peebles Saining Xie GNN 16 2,001 0 19 Dec 2022
Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models Dongjun Kim Yeongmin Kim Se Jung Kwon Wanmo Kang Il-Chul Moon DiffM 33 85 0 28 Nov 2022
Differentially Private Diffusion Models Tim Dockhorn Tianshi Cao Arash Vahdat Karsten Kreis DiffM 19 91 0 18 Oct 2022
Pix2seq: A Language Modeling Framework for Object Detection Ting-Li Chen Saurabh Saxena Lala Li David J. Fleet Geoffrey E. Hinton MLLM ViT VLM 238 344 0 22 Sep 2021
Coordination Among Neural Modules Through a Shared Global Workspace Anirudh Goyal Aniket Didolkar Alex Lamb Kartikeya Badola Nan Rosemary Ke Nasim Rahaman Jonathan Binas Charles Blundell Michael C. Mozer Yoshua Bengio 154 98 0 01 Mar 2021
Big Bird: Transformers for Longer Sequences Manzil Zaheer Guru Guruganesh Kumar Avinava Dubey Joshua Ainslie Chris Alberti ... Philip Pham Anirudh Ravula Qifan Wang Li Yang Amr Ahmed VLM 268 2,013 0 28 Jul 2020
Transformation-based Adversarial Video Prediction on Large-Scale Data Pauline Luc Aidan Clark Sander Dieleman Diego de Las Casas Yotam Doron Albin Cassirer Karen Simonyan VGen 225 86 0 09 Mar 2020
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 296 39,194 0 01 Sep 2014