Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models

29 May 2023

Tianyang Hu

Papers citing "Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models"

22 / 22 papers shown

Title
Distilling Two-Timed Flow Models by Separately Matching Initial and Terminal Velocities Pramook Khungurn Pratch Piyawongwisal Sira Sriswadi Supasorn Suwajanakorn 25 0 0 02 May 2025
Integration Flow Models Jingjing Wang Dan Zhang Joshua Luo Yin Yang Feng Luo 37 0 0 28 Apr 2025
CoherenDream: Boosting Holistic Text Coherence in 3D Generation via Multimodal Large Language Models Feedback Chenhan Jiang Yihan Zeng Hang Xu Dit-Yan Yeung 41 0 0 28 Apr 2025
Adding Additional Control to One-Step Diffusion with Joint Distribution Matching Yihong Luo Tianyang Hu Yifan Song Jiacheng Sun Z. Li Jing Tang DiffM 54 1 0 13 Mar 2025
Learning Few-Step Diffusion Models by Trajectory Distribution Matching Yihong Luo Tianyang Hu Jiacheng Sun Yujun Cai Jing Tang DiffM 71 1 0 13 Mar 2025
RayFlow: Instance-Aware Diffusion Acceleration via Adaptive Flow Trajectories Huiyang Shao Xin Xia Y. Yang Yuxi Ren Xing Wang Xuefeng Xiao 50 1 0 10 Mar 2025
Schedule On the Fly: Diffusion Time Prediction for Faster and Better Image Generation Zilyu Ye Zhiyang Chen Tiancheng Li Zemin Huang Weijian Luo Guo-jun Qi DiffM 72 4 0 02 Dec 2024
Beyond Autoregression: Fast LLMs via Self-Distillation Through Time Justin Deschenaux Çağlar Gülçehre 37 2 0 28 Oct 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 31 6 0 25 Oct 2024
Truncated Consistency Models Sangyun Lee Yilun Xu Tomas Geffner Giulia Fanti Karsten Kreis Arash Vahdat Weili Nie 33 3 0 18 Oct 2024
Training Neural Samplers with Reverse Diffusive KL Divergence Jiajun He Wenlin Chen Mingtian Zhang David Barber José Miguel Hernández-Lobato DiffM 26 4 0 16 Oct 2024
Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion Models Tianqi Chen Shujian Zhang Mingyuan Zhou DiffM 47 3 0 17 Sep 2024
E1 TTS: Simple and Fast Non-Autoregressive TTS Zhijun Liu Shuai Wang Pengcheng Zhu Mengxiao Bi Haizhou Li VLM DiffM 16 3 0 14 Sep 2024
Improving the Training of Rectified Flows Sangyun Lee Zinan Lin Giulia Fanti 21 19 0 30 May 2024
SCott: Accelerating Diffusion Models with Stochastic Consistency Distillation Hongjian Liu Qingsong Xie Zhijie Deng Chen Chen Shixiang Tang Fueyang Fu Zheng-Jun Zha H. Lu Zheng-jun Zha 26 6 0 03 Mar 2024
SMaRt: Improving GANs with Score Matching Regularity Mengfei Xia Yujun Shen Ceyuan Yang Ran Yi Wenping Wang Yong-jin Liu 19 5 0 30 Nov 2023
Poisson Flow Generative Models Yilun Xu Ziming Liu M. Tegmark Tommi Jaakkola 82 81 0 22 Sep 2022
Diverse Weight Averaging for Out-of-Distribution Generalization Alexandre Ramé Matthieu Kirchmeyer Thibaud Rahier A. Rakotomamonjy Patrick Gallinari Matthieu Cord OOD 186 128 0 19 May 2022
A Fine-Grained Analysis on Distribution Shift Olivia Wiles Sven Gowal Florian Stimberg Sylvestre-Alvise Rebuffi Ira Ktena Krishnamurthy Dvijotham A. Cemgil OOD 215 196 0 21 Oct 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 253 4,735 0 24 Feb 2021
Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed Eric Luhman Troy Luhman DiffM 175 256 0 07 Jan 2021
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,183 0 12 Dec 2018