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"

24 / 24 papers shown

Title
Distilling Two-Timed Flow Models by Separately Matching Initial and Terminal Velocities Pramook Khungurn Pratch Piyawongwisal Sira Sriswadi Supasorn Suwajanakorn 32 0 0 02 May 2025
CoherenDream: Boosting Holistic Text Coherence in 3D Generation via Multimodal Large Language Models Feedback Chenhan Jiang Yihan Zeng Hang Xu Dit-Yan Yeung 44 0 0 28 Apr 2025
Integration Flow Models Jingjing Wang Dan Zhang Joshua Luo Yin Yang Feng Luo 125 0 0 28 Apr 2025
Diffusion Distillation With Direct Preference Optimization For Efficient 3D LiDAR Scene Completion An Zhao Shengyuan Zhang Ling Yang Z. Li Jiale Wu Haoran Xu AnYang Wei Perry Pengyun GU Lingyun Sun 22 0 0 15 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 78 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 80 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 56 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 83 5 0 02 Dec 2024
Beyond Autoregression: Fast LLMs via Self-Distillation Through Time Justin Deschenaux Çağlar Gülçehre 44 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 108 6 0 25 Oct 2024
Truncated Consistency Models Sangyun Lee Yilun Xu Tomas Geffner Giulia Fanti Karsten Kreis Arash Vahdat Weili Nie 49 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 37 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 71 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 38 3 0 14 Sep 2024
Improving the Training of Rectified Flows Sangyun Lee Zinan Lin Giulia Fanti 36 19 0 30 May 2024
Bidirectional Consistency Models Liangchen Li Jiajun He DiffM 54 11 0 26 Mar 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 43 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 28 5 0 30 Nov 2023
Poisson Flow Generative Models Yilun Xu Ziming Liu M. Tegmark Tommi Jaakkola 95 80 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 193 128 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 220 201 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 255 4,774 0 24 Feb 2021
Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed Eric Luhman Troy Luhman DiffM 189 258 0 07 Jan 2021
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 276 10,348 0 12 Dec 2018