Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models

11 April 2024

Papers citing "Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models"

20 / 20 papers shown

Title
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 46 0 0 05 May 2025
Gaussian Mixture Flow Matching Models Hansheng Chen Kai Zhang Hao Tan Zexiang Xu Fujun Luan Leonidas J. Guibas Gordon Wetzstein Sai Bi DiffM 61 0 0 07 Apr 2025
Unconditional Priors Matter! Improving Conditional Generation of Fine-Tuned Diffusion Models Prin Phunyaphibarn Phillip Y. Lee Jaihoon Kim Minhyuk Sung DiffM 84 0 0 26 Mar 2025
Flow to the Mode: Mode-Seeking Diffusion Autoencoders for State-of-the-Art Image Tokenization Kyle Sargent Kyle Hsu Justin Johnson L. Fei-Fei Jiajun Wu DiffM MU 53 2 0 14 Mar 2025
Effective and Efficient Masked Image Generation Models Zebin You Jingyang Ou Xiaolu Zhang Jun Hu Jun Zhou Chongxuan Li DiffM VLM 54 1 0 10 Mar 2025
Synthetic Data is an Elegant GIFT for Continual Vision-Language Models Bin Wu Wuxuan Shi Jinqiao Wang Mang Ye CLL VLM 45 0 0 06 Mar 2025
Beyond Next-Token: Next-X Prediction for Autoregressive Visual Generation Sucheng Ren Qihang Yu Ju He Xiaohui Shen Alan Yuille Liang-Chieh Chen VGen 76 6 0 27 Feb 2025
EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling Theodoros Kouzelis Ioannis Kakogeorgiou Spyros Gidaris N. Komodakis DRL 67 5 0 17 Feb 2025
Understanding Classifier-Free Guidance: High-Dimensional Theory and Non-Linear Generalizations Krunoslav Lehman Pavasovic Jakob Verbeek Giulio Biroli Marc Mézard 59 0 0 11 Feb 2025
Visual Generation Without Guidance Huayu Chen Kai Jiang Kaiwen Zheng Jianfei Chen Hang Su J. Zhu 55 0 0 28 Jan 2025
Robust Guided Diffusion for Offline Black-Box Optimization Can Chen Christopher Beckham Xue Liu Xue Liu OffRL 38 5 0 03 Jan 2025
Dynamic Negative Guidance of Diffusion Models Felix Koulischer Johannes Deleu G. Raya T. Demeester L. Ambrogioni DiffM 49 2 0 03 Jan 2025
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 108 6 0 14 Dec 2024
Switti: Designing Scale-Wise Transformers for Text-to-Image Synthesis Anton Voronov Denis Kuznedelev Mikhail Khoroshikh Valentin Khrulkov Dmitry Baranchuk 106 2 0 02 Dec 2024
Classifier-Free Guidance inside the Attraction Basin May Cause Memorization Anubhav Jain Yuya Kobayashi Takashi Shibuya Yuhta Takida N. Memon Julian Togelius Yuki Mitsufuji DiffM 104 2 0 23 Nov 2024
Simpler Diffusion (SiD2): 1.5 FID on ImageNet512 with pixel-space diffusion Emiel Hoogeboom Thomas Mensink Jonathan Heek Kay Lamerigts Ruiqi Gao Tim Salimans 64 6 0 25 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 68 62 0 09 Oct 2024
Presto! Distilling Steps and Layers for Accelerating Music Generation Zachary Novack Ge Zhu Jonah Casebeer Julian McAuley Taylor Berg-Kirkpatrick Nicholas J. Bryan 45 5 0 07 Oct 2024
PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator Hanshu Yan Xingchao Liu Jiachun Pan Jun Hao Liew Qiang Liu Jiashi Feng 32 40 0 13 May 2024
Faster Diffusion via Temporal Attention Decomposition Haozhe Liu Wentian Zhang Jinheng Xie Francesco Faccio Mengmeng Xu Tao Xiang Mike Zheng Shou Juan-Manuel Perez-Rua Jürgen Schmidhuber DiffM 67 19 0 03 Apr 2024