Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation

1 March 2023

Ruiqi Gao

Papers citing "Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation"

34 / 34 papers shown

Title
Continuous Visual Autoregressive Generation via Score Maximization Chenze Shao Fandong Meng Jie Zhou DiffM 26 0 0 12 May 2025
No Other Representation Component Is Needed: Diffusion Transformers Can Provide Representation Guidance by Themselves D. Jiang Mengmeng Wang Liuzhuozheng Li Lei Zhang Haoyu Wang Wei Wei Guang Dai Yanning Zhang Jingdong Wang DiffM 51 0 0 05 May 2025
Aligning Generative Denoising with Discriminative Objectives Unleashes Diffusion for Visual Perception Ziqi Pang Xin Xu Yu-Xiong Wang DiffM 65 0 0 15 Apr 2025
MESA: Text-Driven Terrain Generation Using Latent Diffusion and Global Copernicus Data Paul Borne--Pons Mikolaj Czerkawski Rosalie Martin Romain Rouffet DiffM 19 2 0 09 Apr 2025
Effective and Efficient Masked Image Generation Models Zebin You Jingyang Ou Xiaolu Zhang Jun Hu Jun Zhou Chongxuan Li DiffM VLM 56 1 0 10 Mar 2025
Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator Kaiwen Zheng Yongxin Chen Huayu Chen Guande He Ming-Yu Liu J. Zhu Qinsheng Zhang DiffM 49 0 0 03 Mar 2025
CustomVideoX: 3D Reference Attention Driven Dynamic Adaptation for Zero-Shot Customized Video Diffusion Transformers D. She Mushui Liu Jingxuan Pang Jin Wang Zhen Yang ... Yi Wang Qihan Huang Haobin Tang Yunlong Yu Siming Fu VGen 96 4 0 21 Feb 2025
Conditional Diffusion Models are Medical Image Classifiers that Provide Explainability and Uncertainty for Free Gian Mario Favero Parham Saremi Emily Kaczmarek Brennan Nichyporuk Tal Arbel DiffM MedIm 65 0 0 06 Feb 2025
Density Ratio Estimation with Conditional Probability Paths Hanlin Yu Arto Klami Aapo Hyvarinen Anna Korba Omar Chehab 67 0 0 04 Feb 2025
DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation Chenguo Lin Panwang Pan Bangbang Yang Zeming Li Yadong Mu 3DGS 76 7 0 28 Jan 2025
Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models Daniela de Albuquerque John Pearson DiffM 59 0 0 03 Jan 2025
Self-Corrected Flow Distillation for Consistent One-Step and Few-Step Text-to-Image Generation Quan Dao Hao Phung T. Dao Dimitris Metaxas Anh Tran 90 1 0 22 Dec 2024
SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer H. Chen Z. Wang X. Li X. Sun Fangyi Chen Jiang Liu J. Wang Bhiksha Raj Zicheng Liu Emad Barsoum VLM 111 6 0 14 Dec 2024
OmniFlow: Any-to-Any Generation with Multi-Modal Rectified Flows Shufan Li Konstantinos Kallidromitis Akash Gokul Zichun Liao Yusuke Kato Kazuki Kozuka Aditya Grover VGen 92 5 0 02 Dec 2024
DisCoRD: Discrete Tokens to Continuous Motion via Rectified Flow Decoding Jungbin Cho Junwan Kim Jisoo Kim Minseo Kim Mingu Kang S. Hong Tae-Hyun Oh Youngjae Yu VGen 86 1 0 29 Nov 2024
DiMSUM: Diffusion Mamba -- A Scalable and Unified Spatial-Frequency Method for Image Generation Hao Phung Quan Dao T. Dao Hoang Phan Dimitris Metaxas Anh Tran Mamba 64 3 0 06 Nov 2024
Brain-like variational inference Hadi Vafaii Dekel Galor Jacob L. Yates DRL 46 0 0 25 Oct 2024
Enhancing Robustness in Deep Reinforcement Learning: A Lyapunov Exponent Approach Rory Young Nicolas Pugeault AAML 57 3 0 14 Oct 2024
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think Sihyun Yu Sangkyung Kwak Huiwon Jang Jongheon Jeong Jonathan Huang Jinwoo Shin Saining Xie OCL 70 62 0 09 Oct 2024
Diffusion-based Unsupervised Audio-visual Speech Enhancement Jean-Eudes Ayilo Mostafa Sadeghi Romain Serizel Xavier Alameda-Pineda DiffM 20 0 0 04 Oct 2024
Denoising with a Joint-Embedding Predictive Architecture Dengsheng Chen Jie Hu Xiaoming Wei Enhua Wu DiffM 52 2 0 02 Oct 2024
Sample-Efficient Diffusion for Text-To-Speech Synthesis Justin Lovelace Soham Ray Kwangyoun Kim Kilian Q. Weinberger Felix Wu 34 2 0 01 Sep 2024
Diffusion Guided Language Modeling Justin Lovelace Varsha Kishore Yiwei Chen Kilian Q. Weinberger 38 6 0 08 Aug 2024
Autoregressive Image Generation without Vector Quantization Tianhong Li Yonglong Tian He Li Mingyang Deng Kaiming He DiffM 47 171 0 17 Jun 2024
Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching Yasi Zhang Peiyu Yu Yaxuan Zhu Yingshan Chang Feng Gao Yingnian Wu Oscar Leong 75 7 0 29 May 2024
Discrete-state Continuous-time Diffusion for Graph Generation Zhe Xu Ruizhong Qiu Yuzhong Chen Huiyuan Chen Xiran Fan Menghai Pan Zhichen Zeng Mahashweta Das Hanghang Tong 32 8 0 19 May 2024
Denoising Task Difficulty-based Curriculum for Training Diffusion Models Jin-Young Kim Hyojun Go Soonwoo Kwon Hyun-Gyoon Kim DiffM 46 6 0 15 Mar 2024
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis Patrick Esser Sumith Kulal A. Blattmann Rahim Entezari Jonas Muller ... Zion English Kyle Lacey Alex Goodwin Yannik Marek Robin Rombach DiffM 86 1,059 0 05 Mar 2024
ADEPT: Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning Kaan Ozkara Bruce Huang Ruida Zhou Suhas Diggavi 87 0 0 19 Feb 2024
Continuous Diffusion for Mixed-Type Tabular Data Markus Mueller Kathrin Gruber Dennis Fok DiffM 53 5 0 16 Dec 2023
Investigating the Design Space of Diffusion Models for Speech Enhancement Philippe Gonzalez Zheng-Hua Tan Jan Østergaard Jesper Jensen T. S. Alstrøm Tobias May DiffM 25 6 0 07 Dec 2023
Diffusion-based speech enhancement with a weighted generative-supervised learning loss Jean-Eudes Ayilo Mostafa Sadeghi Romain Serizel DiffM 25 7 0 19 Sep 2023
MDTv2: Masked Diffusion Transformer is a Strong Image Synthesizer Shanghua Gao Pan Zhou Mingg-Ming Cheng Shuicheng Yan DiffM 137 155 0 25 Mar 2023
Palette: Image-to-Image Diffusion Models Chitwan Saharia William Chan Huiwen Chang Chris A. Lee Jonathan Ho Tim Salimans David J. Fleet Mohammad Norouzi DiffM VLM 342 1,588 0 10 Nov 2021