Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models

28 November 2022

Papers citing "Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models"

50 / 70 papers shown

Title
Integration Flow Models Jingjing Wang Dan Zhang Joshua Luo Yin Yang Feng Luo 89 0 0 28 Apr 2025
MixerMDM: Learnable Composition of Human Motion Diffusion Models Pablo Ruiz-Ponce Germán Barquero Cristina Palmero Sergio Escalera José García Rodríguez DiffM 55 0 0 01 Apr 2025
High Quality Diffusion Distillation on a Single GPU with Relative and Absolute Position Matching Guoqiang Zhang Kenta Niwa J. P. Lewis Cedric Mesnage W. Kleijn 76 0 0 26 Mar 2025
Improving Discriminator Guidance in Diffusion Models Alexandre Verine Mehdi Inane Florian Le Bronnec Benjamin Négrevergne Y. Chevaleyre DiffM 43 0 0 20 Mar 2025
Studying Classifier(-Free) Guidance From a Classifier-Centric Perspective Xiaoming Zhao Alexander Schwing FaML 63 0 0 13 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 47 0 0 03 Mar 2025
Solving Linear-Gaussian Bayesian Inverse Problems with Decoupled Diffusion Sequential Monte Carlo Filip Ekstrom Kelvinius Zheng Zhao Fredrik Lindsten DiffM 46 0 0 10 Feb 2025
Binary Losses for Density Ratio Estimation Werner Zellinger 48 0 0 28 Jan 2025
Diffusion Sampling Correction via Approximately 10 Parameters Guangyi Wang Wei Peng Lijiang Li Wenyu Chen Yuren Cai Songzhi Su DiffM 31 0 0 10 Nov 2024
AutoLoRA: AutoGuidance Meets Low-Rank Adaptation for Diffusion Models Artur Kasymov Marcin Sendera Michał Stypułkowski Maciej Ziȩba P. Spurek 31 1 0 04 Oct 2024
Spiking Diffusion Models Jiahang Cao Hanzhong Guo Ziqing Wang Deming Zhou Hao Cheng Qiang Zhang Renjing Xu DiffM 38 2 0 29 Aug 2024
Self-Improving Diffusion Models with Synthetic Data Sina Alemohammad Ahmed Imtiaz Humayun S. Agarwal John Collomosse Richard G. Baraniuk 28 11 0 29 Aug 2024
GenFormer -- Generated Images are All You Need to Improve Robustness of Transformers on Small Datasets Sven Oehri Nikolas Ebert Ahmed Abdullah Didier Stricker Oliver Wasenmüller ViT 19 5 0 26 Aug 2024
GeoGuide: Geometric guidance of diffusion models Mateusz Poleski Jacek Tabor P. Spurek 34 1 0 17 Jul 2024
Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models Sangwoong Yoon Himchan Hwang Dohyun Kwon Yung-Kyun Noh Frank C. Park 19 2 0 30 Jun 2024
PopAlign: Population-Level Alignment for Fair Text-to-Image Generation Shufan Li Harkanwar Singh Aditya Grover EGVM 32 2 0 28 Jun 2024
Guiding a Diffusion Model with a Bad Version of Itself Tero Karras M. Aittala Tuomas Kynkaanniemi J. Lehtinen Timo Aila S. Laine 28 57 0 04 Jun 2024
Unified Directly Denoising for Both Variance Preserving and Variance Exploding Diffusion Models Jingjing Wang Dan Zhang Feng Luo DiffM 26 0 0 31 May 2024
Diffusion Rejection Sampling Byeonghu Na Yeongmin Kim Minsang Park DongHyeok Shin Wanmo Kang Il-Chul Moon 38 2 0 28 May 2024
Diffusion Bridge AutoEncoders for Unsupervised Representation Learning Yeongmin Kim Kwanghyeon Lee Minsang Park Byeonghu Na Il-Chul Moon DiffM 42 2 0 27 May 2024
Directly Denoising Diffusion Models Dan Zhang Jingjing Wang Feng Luo DiffM 28 2 0 22 May 2024
Simple Drop-in LoRA Conditioning on Attention Layers Will Improve Your Diffusion Model Joo Young Choi Jaesung R. Park Inkyu Park Jaewoong Cho Albert No Ernest K. Ryu AI4CE 35 4 0 07 May 2024
An Analysis of Recent Advances in Deepfake Image Detection in an Evolving Threat Landscape Sifat Muhammad Abdullah Aravind Cheruvu Shravya Kanchi Taejoong Chung Peng Gao Murtuza Jadliwala Bimal Viswanath AAML 26 11 0 24 Apr 2024
Adversarial Robustness Limits via Scaling-Law and Human-Alignment Studies Brian Bartoldson James Diffenderfer Konstantinos Parasyris B. Kailkhura AAML 35 12 0 14 Apr 2024
Adversarial Guided Diffusion Models for Adversarial Purification Guang Lin Zerui Tao Jianhai Zhang Toshihisa Tanaka Qibin Zhao 27 5 0 24 Mar 2024
Improving Diffusion-Based Generative Models via Approximated Optimal Transport Daegyu Kim Jooyoung Choi Chaehun Shin Uiwon Hwang Sungroh Yoon OT 35 2 0 08 Mar 2024
Training Unbiased Diffusion Models From Biased Dataset Yeongmin Kim Byeonghu Na Minsang Park Joonho Jang Dongjun Kim Wanmo Kang Il-Chul Moon 27 19 0 02 Mar 2024
Rethinking cluster-conditioned diffusion models Nikolas Adaloglou Tim Kaiser Félix D. P. Michels M. Kollmann VLM 32 3 0 01 Mar 2024
FineDiffusion: Scaling up Diffusion Models for Fine-grained Image Generation with 10,000 Classes Ziying Pan Kun Wang Gang Li Feihong He Yongxuan Lai 32 0 0 28 Feb 2024
Structure-Guided Adversarial Training of Diffusion Models Ling Yang Haotian Qian Zhilong Zhang Jingwei Liu Bin Cui 23 10 0 27 Feb 2024
Label-Noise Robust Diffusion Models Byeonghu Na Yeongmin Kim Heesun Bae Jung Hyun Lee Seho Kwon Wanmo Kang Il-Chul Moon NoLa DiffM 50 8 0 27 Feb 2024
Overcoming Saturation in Density Ratio Estimation by Iterated Regularization Lukas Gruber Markus Holzleitner Johannes Lehner Sepp Hochreiter Werner Zellinger 35 1 0 21 Feb 2024
Diffusion Model with Perceptual Loss Shanchuan Lin Xiao Yang DiffM 23 15 0 30 Dec 2023
One-Step Diffusion Distillation via Deep Equilibrium Models Zhengyang Geng Ashwini Pokle Trevor Killeen 26 28 0 12 Dec 2023
Characteristic Guidance: Non-linear Correction for Diffusion Model at Large Guidance Scale Candi Zheng Yuan Lan DiffM 23 4 0 11 Dec 2023
Correcting Diffusion Generation through Resampling Yujian Liu Yang Zhang Tommi Jaakkola Shiyu Chang 31 6 0 10 Dec 2023
Mitigating Exposure Bias in Discriminator Guided Diffusion Models Eleftherios Tsonis Paraskevi Tzouveli Athanasios Voulodimos DiffM 10 2 0 18 Nov 2023
Music ControlNet: Multiple Time-varying Controls for Music Generation Shih-Lun Wu Chris Donahue Shinji Watanabe Nicholas J. Bryan DiffM MGen 29 50 0 13 Nov 2023
Exploring the Hyperparameter Space of Image Diffusion Models for Echocardiogram Generation Hadrien Reynaud Bernhard Kainz MedIm 19 0 0 02 Nov 2023
Optimal Budgeted Rejection Sampling for Generative Models Alexandre Verine Muni Sreenivas Pydi Benjamin Négrevergne Y. Chevaleyre 13 3 0 01 Nov 2023
DiffEnc: Variational Diffusion with a Learned Encoder Beatrix M. G. Nielsen Anders Christensen Andrea Dittadi Ole Winther DiffM 16 9 0 30 Oct 2023
CADS: Unleashing the Diversity of Diffusion Models through Condition-Annealed Sampling Seyedmorteza Sadat Jakob Buhmann Derek Bradley Otmar Hilliges Romann M. Weber DiffM 23 38 0 26 Oct 2023
Discriminator Guidance for Autoregressive Diffusion Models Filip Ekstrom Kelvinius Fredrik Lindsten DiffM 17 5 0 24 Oct 2023
Improved Techniques for Training Consistency Models Yang Song Prafulla Dhariwal 26 148 0 22 Oct 2023
Unsupervised Discovery of Interpretable Directions in h-space of Pre-trained Diffusion Models Zijian Zhang Luping Liu Zhijie Lin Yichen Zhu Zhou Zhao DiffM 29 4 0 15 Oct 2023
Observation-Guided Diffusion Probabilistic Models Junoh Kang Jinyoung Choi Sungik Choi Bohyung Han 29 1 0 06 Oct 2023
Assessing Robustness via Score-Based Adversarial Image Generation Marcel Kollovieh Lukas Gosch Yan Scholten Marten Lienen Leo Schwinn Stephan Günnemann DiffM 35 4 0 06 Oct 2023
Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion Dongjun Kim Chieh-Hsin Lai Wei-Hsiang Liao Naoki Murata Yuhta Takida Toshimitsu Uesaka Yutong He Yuki Mitsufuji Stefano Ermon DiffM 32 170 0 01 Oct 2023
Score Mismatching for Generative Modeling Senmao Ye Fei Liu DiffM 20 8 0 20 Sep 2023
Don't be so negative! Score-based Generative Modeling with Oracle-assisted Guidance Saeid Naderiparizi Xiaoxuan Liang Berend Zwartsenberg Frank D. Wood DiffM 18 4 0 31 Jul 2023