图像生成 - arXivDaily 专题

2302.07801 2023-08-08 cs.LG cs.CR 82%

Data Forensics in Diffusion Models: A Systematic Analysis of Membership Privacy

Derui Zhu, Dingfan Chen, Jens Grossklags, Mario Fritz

专题命中扩散模型：diffusion(title,abstract)；image generation(abstract)

2307.13560 2023-08-01 cs.CL 82%

XDLM: Cross-lingual Diffusion Language Model for Machine Translation

Linyao Chen, Aosong Feng, Boming Yang, Zihui Li

专题命中扩散模型：diffusion(title,abstract)；image generation(abstract)

2307.10994 2023-07-21 cs.SD cs.LG eess.AS 82%

Progressive distillation diffusion for raw music generation

Svetlana Pavlova

专题命中扩散模型：diffusion(title,abstract)；image generation(abstract)

Comments 9 pages

2307.10304 2023-07-21 cs.SD cs.LG eess.AS 82%

Polyffusion: A Diffusion Model for Polyphonic Score Generation with Internal and External Controls

Lejun Min, Junyan Jiang, Gus Xia, Jingwei Zhao

专题命中扩散模型：diffusion(title,abstract)；inpainting(abstract)

Comments In Proceedings of the 24th Conference of the International Society for Music Information Retrieval (ISMIR 2023), Milan, Italy

2307.00619 2023-07-04 cs.LG cs.AI stat.ML 82%

Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models

Litu Rout, Negin Raoof, Giannis Daras, Constantine Caramanis, Alexandros G. Dimakis, Sanjay Shakkottai

专题命中扩散模型：diffusion(title,abstract)；inpainting(abstract)

Comments Preprint

2306.07526 2023-06-14 cs.LG cs.AI 82%

User-defined Event Sampling and Uncertainty Quantification in Diffusion Models for Physical Dynamical Systems

Marc Finzi, Anudhyan Boral, Andrew Gordon Wilson, Fei Sha, Leonardo Zepeda-Núñez

专题命中扩散模型：diffusion(title,abstract)；inpainting(abstract)

Comments ICML 2023 Conference

2304.12824 2023-05-31 cs.LG 82%

Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning

Cheng Lu, Huayu Chen, Jianfei Chen, Hang Su, Chongxuan Li, Jun Zhu

专题命中扩散模型：diffusion(title,abstract)；image synthesis(abstract)

Comments Accepted at ICML 2023

2301.10972 2023-05-23 cs.CV cs.GR cs.LG cs.MM 82%

On the Importance of Noise Scheduling for Diffusion Models

Ting Chen

专题命中扩散模型：diffusion(title,abstract)；分类 cs.CV、cs.GR、cs.MM

Comments tech report

2304.12891 2023-04-26 physics.ao-ph cs.LG eess.IV 82%

Latent diffusion models for generative precipitation nowcasting with accurate uncertainty quantification

Jussi Leinonen, Ulrich Hamann, Daniele Nerini, Urs Germann, Gabriele Franch

专题命中扩散模型：diffusion(title,abstract)；image generation(abstract)

Comments 18 pages, 6 figures. Submitted for publication

2304.10707 2023-04-24 stat.ML cs.LG 82%

Persistently Trained, Diffusion-assisted Energy-based Models

Xinwei Zhang, Zhiqiang Tan, Zhijian Ou

专题命中扩散模型：diffusion(title,abstract)；image generation(abstract)

Comments main text 8 pages

2304.00830 2023-04-06 cs.SD cs.AI cs.CL cs.LG eess.AS 82%

AUDIT: Audio Editing by Following Instructions with Latent Diffusion Models

Yuancheng Wang, Zeqian Ju, Xu Tan, Lei He, Zhizheng Wu, Jiang Bian, Sheng Zhao

专题命中扩散模型：diffusion(title,abstract)；inpainting(abstract)

2210.15228 2023-03-21 eess.AS cs.SD 82%

Solving Audio Inverse Problems with a Diffusion Model

Eloi Moliner, Jaakko Lehtinen, Vesa Välimäki

专题命中扩散模型：diffusion(title,abstract)；inpainting(abstract)

Comments Accetpted at ICASSP 2023

2303.07576 2023-03-15 cs.CL cs.AI 82%

Diffusion Models in NLP: A Survey

Yuansong Zhu, Yu Zhao

专题命中扩散模型：diffusion(title,abstract)；image generation(abstract)

2301.10677 2023-03-06 cs.AI cs.LG stat.ML 82%

Imitating Human Behaviour with Diffusion Models

Tim Pearce, Tabish Rashid, Anssi Kanervisto, Dave Bignell, Mingfei Sun, Raluca Georgescu, Sergio Valcarcel Macua, Shan Zheng Tan, Ida Momennejad, Katja Hofmann, Sam Devlin

专题命中扩散模型：diffusion(title,abstract)；text-to-image(abstract)

Comments Published in ICLR 2023

Journal ref ICLR 2023

2302.03792 2023-02-09 cs.LG cs.IT math.IT 82%

Information-Theoretic Diffusion

Xianghao Kong, Rob Brekelmans, Greg Ver Steeg

专题命中扩散模型：diffusion(title,abstract)；image generation(abstract)

Comments 26 pages, 7 figures, International Conference on Learning Representations (ICLR), 2023. Code is at http://github.com/kxh001/ITdiffusion and http://github.com/gregversteeg/InfoDiffusionSimple

2301.13267 2023-02-01 cs.SD cs.CL eess.AS 82%

ArchiSound: Audio Generation with Diffusion

Flavio Schneider

专题命中扩散模型：diffusion(title,abstract)；image generation(abstract)

Comments Master Thesis at ETH Zurich

2211.13095 2022-11-24 cs.CL 82%

Schrödinger's Bat: Diffusion Models Sometimes Generate Polysemous Words in Superposition

Jennifer C. White, Ryan Cotterell

专题命中扩散模型：diffusion(title,abstract)；text-to-image(abstract)

2211.04236 2022-11-09 cs.CL cs.LG 82%

Self-conditioned Embedding Diffusion for Text Generation

Robin Strudel, Corentin Tallec, Florent Altché, Yilun Du, Yaroslav Ganin, Arthur Mensch, Will Grathwohl, Nikolay Savinov, Sander Dieleman, Laurent Sifre, Rémi Leblond

专题命中扩散模型：diffusion(title,abstract)；image generation(abstract)

Comments 15 pages

2210.07677 2022-10-17 eess.AS cs.AI cs.SD 82%

TransFusion: Transcribing Speech with Multinomial Diffusion

Matthew Baas, Kevin Eloff, Herman Kamper

专题命中扩散模型：diffusion(title,abstract)；image synthesis(abstract)

Comments 12 pages, 4 figures, 1 table. Accepted at SACAIR 2022

2210.05475 2022-10-12 stat.ML cs.LG 82%

GENIE: Higher-Order Denoising Diffusion Solvers

Tim Dockhorn, Arash Vahdat, Karsten Kreis

专题命中扩散模型：diffusion(title,abstract)；image generation(abstract)

Comments NeurIPS 2022

2210.05271 2022-10-12 cs.SD cs.AI eess.AS 82%

GAN You Hear Me? Reclaiming Unconditional Speech Synthesis from Diffusion Models

Matthew Baas, Herman Kamper

专题命中扩散模型：diffusion(title,abstract)；image synthesis(abstract)

Comments 6 pages, 2 figures, 2 tables. Accepted at IEEE SLT 2022

2208.07949 2022-08-18 cs.LG 82%

Riemannian Diffusion Models

Chin-Wei Huang, Milad Aghajohari, Avishek Joey Bose, Prakash Panangaden, Aaron Courville

专题命中扩散模型：diffusion(title,abstract)；image generation(abstract)

2106.05527 2022-06-14 cs.LG cs.AI stat.ML 82%

Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation

Dongjun Kim, Seungjae Shin, Kyungwoo Song, Wanmo Kang, Il-Chul Moon

专题命中扩散模型：diffusion(title,abstract)；image generation(abstract)

Comments 28 pages, 16 figures, 15 tables

Journal ref International Conference on Machine Learning (ICML) 2022

2112.07068 2022-03-28 stat.ML cs.LG 82%

Score-Based Generative Modeling with Critically-Damped Langevin Diffusion

Tim Dockhorn, Arash Vahdat, Karsten Kreis

专题命中扩散模型：diffusion(title,abstract)；image synthesis(abstract)

Comments ICLR 2022 (Spotlight)

2202.05830 2022-02-14 cs.LG 82%

Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality

Daniel Watson, William Chan, Jonathan Ho, Mohammad Norouzi

专题命中扩散模型：diffusion(title,abstract)；image generation(abstract)

Comments Published as a conference paper at ICLR 2022

2107.03502 2021-10-28 cs.LG stat.ML 82%

CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation

Yusuke Tashiro, Jiaming Song, Yang Song, Stefano Ermon

专题命中扩散模型：diffusion(title,abstract)；image generation(abstract)

Comments NeurIPS 2021

2110.07579 2021-10-15 cs.LG 82%

Diffusion Normalizing Flow

Qinsheng Zhang, Yongxin Chen

专题命中扩散模型：diffusion(title,abstract)；image generation(abstract)

Comments Neurips 2021

2004.01585 2021-06-22 math.OC 82%

Diffusion Tensor Regularization with Metric Double Integrals

Leon Frischauf, Melanie Melching, Otmar Scherzer

专题命中扩散模型：diffusion(title,abstract)；inpainting(abstract)

Comments 10 figures

2006.11239 2020-12-18 cs.LG stat.ML 82%

Denoising Diffusion Probabilistic Models

Jonathan Ho, Ajay Jain, Pieter Abbeel

专题命中扩散模型：diffusion(title,abstract)；image synthesis(abstract)

2512.08309 2026-01-13 cs.CV cs.AI cs.GR cs.LG 82%

Terrain Diffusion: A Diffusion-Based Successor to Perlin Noise in Infinite, Real-Time Terrain Generation

地形扩散：一种基于扩散的继任者，用于无限实时地形生成

Alexander Goslin

机构 * Independent Researcher（独立研究者）

专题命中扩散模型：diffusion(title,abstract)；分类 cs.CV、cs.GR

AI总结 Terrain Diffusion通过结合扩散模型的保真度与程序化噪声的特性，实现了高效且逼真的无限实时地形生成。

Comments Project website: https://xandergos.github.io/terrain-diffusion/ Code: https://github.com/xandergos/terrain-diffusion/

1. 扩散模型 70051 篇

Data Forensics in Diffusion Models: A Systematic Analysis of Membership Privacy

XDLM: Cross-lingual Diffusion Language Model for Machine Translation

Progressive distillation diffusion for raw music generation

Polyffusion: A Diffusion Model for Polyphonic Score Generation with Internal and External Controls

Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models

User-defined Event Sampling and Uncertainty Quantification in Diffusion Models for Physical Dynamical Systems

Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning

On the Importance of Noise Scheduling for Diffusion Models

Latent diffusion models for generative precipitation nowcasting with accurate uncertainty quantification

Persistently Trained, Diffusion-assisted Energy-based Models

AUDIT: Audio Editing by Following Instructions with Latent Diffusion Models

Solving Audio Inverse Problems with a Diffusion Model

Diffusion Models in NLP: A Survey

Imitating Human Behaviour with Diffusion Models

Information-Theoretic Diffusion

ArchiSound: Audio Generation with Diffusion

Schrödinger's Bat: Diffusion Models Sometimes Generate Polysemous Words in Superposition

Self-conditioned Embedding Diffusion for Text Generation

TransFusion: Transcribing Speech with Multinomial Diffusion

GENIE: Higher-Order Denoising Diffusion Solvers

GAN You Hear Me? Reclaiming Unconditional Speech Synthesis from Diffusion Models

Riemannian Diffusion Models

Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation

Score-Based Generative Modeling with Critically-Damped Langevin Diffusion

Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality

CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation

Diffusion Normalizing Flow

Diffusion Tensor Regularization with Metric Double Integrals

Denoising Diffusion Probabilistic Models

Terrain Diffusion: A Diffusion-Based Successor to Perlin Noise in Infinite, Real-Time Terrain Generation