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Understanding and Improving Training-free Loss-based Diffusion Guidance
v1v2 (latest)

Understanding and Improving Training-free Loss-based Diffusion Guidance

Neural Information Processing Systems (NeurIPS), 2024
19 March 2024
Yifei Shen
Xinyang Jiang
Yezhen Wang
Yifan Yang
Dongqi Han
Dongsheng Li
    FaML
ArXiv (abs)PDFHTML

Papers citing "Understanding and Improving Training-free Loss-based Diffusion Guidance"

13 / 13 papers shown
CAPE: Context-Aware Diffusion Policy Via Proximal Mode Expansion for Collision Avoidance
CAPE: Context-Aware Diffusion Policy Via Proximal Mode Expansion for Collision Avoidance
Rui Heng Yang
Xuan Zhao
Leo Maxime Brunswic
Montgomery Alban
Mateo Clemente
Tongtong Cao
Jun Jin
Amir Rasouli
147
0
0
27 Nov 2025
Diffusion Models as Dataset Distillation Priors
Diffusion Models as Dataset Distillation Priors
Duo Su
Huyu Wu
Huanran Chen
Yiming Shi
Y. Wang
Xi Ye
Jun Zhu
DD
323
0
0
20 Oct 2025
Similarity-Guided Diffusion for Long-Gap Music Inpainting
Similarity-Guided Diffusion for Long-Gap Music Inpainting
Sean Turland
Eloi Moliner
Vesa Valimaki
DiffM
111
0
0
19 Sep 2025
Training-Free Stein Diffusion Guidance: Posterior Correction for Sampling Beyond High-Density Regions
Training-Free Stein Diffusion Guidance: Posterior Correction for Sampling Beyond High-Density Regions
Van Khoa Nguyen
Lionel Blondé
Alexandros Kalousis
160
0
0
07 Jul 2025
SPARKE: Scalable Prompt-Aware Diversity and Novelty Guidance in Diffusion Models via RKE Score
SPARKE: Scalable Prompt-Aware Diversity and Novelty Guidance in Diffusion Models via RKE Score
Mohammad Jalali
Haoyu Lei
Amin Gohari
Farzan Farnia
DiffM
374
1
0
11 Jun 2025
Frame Guidance: Training-Free Guidance for Frame-Level Control in Video Diffusion Models
Frame Guidance: Training-Free Guidance for Frame-Level Control in Video Diffusion Models
Sangwon Jang
Taekyung Ki
Jaehyeong Jo
Jaehong Yoon
Soo Ye Kim
Zhe Lin
Sung Ju Hwang
DiffMVGen
191
2
0
08 Jun 2025
Neuro-Symbolic Generative Diffusion Models for Physically Grounded, Robust, and Safe Generation
Neuro-Symbolic Generative Diffusion Models for Physically Grounded, Robust, and Safe Generation
Jacob K Christopher
Michael Cardei
Jinhao Liang
Ferdinando Fioretto
DiffMMedIm
191
6
0
01 Jun 2025
Guiding Diffusion with Deep Geometric Moments: Balancing Fidelity and Variation
Guiding Diffusion with Deep Geometric Moments: Balancing Fidelity and Variation
Sangmin Jung
Utkarsh Nath
Yezhou Yang
Giulia Pedrielli
Joydeep Biswas
Amy Zhang
Hassan Ghasemzadeh
Pavan Turaga
DiffM
411
0
0
18 May 2025
RA-DP: Rapid Adaptive Diffusion Policy for Training-Free High-frequency Robotics Replanning
RA-DP: Rapid Adaptive Diffusion Policy for Training-Free High-frequency Robotics Replanning
Xi Ye
Rui Heng Yang
Jun Jin
Yiming Li
Amir Rasouli
247
2
0
06 Mar 2025
Training-Free Guidance Beyond Differentiability: Scalable Path Steering with Tree Search in Diffusion and Flow Models
Training-Free Guidance Beyond Differentiability: Scalable Path Steering with Tree Search in Diffusion and Flow Models
Yingqing Guo
Yukang Yang
Hui Yuan
Mengdi Wang
428
10
0
17 Feb 2025
Boosting Cross-problem Generalization in Diffusion-Based Neural Combinatorial Solver via Inference Time Adaptation
Boosting Cross-problem Generalization in Diffusion-Based Neural Combinatorial Solver via Inference Time Adaptation
Haoyu Lei
Kaiwen Zhou
Yunshui Li
Zhitang Chen
Farzan Farnia
DiffM
475
1
0
15 Feb 2025
DyMO: Training-Free Diffusion Model Alignment with Dynamic Multi-Objective Scheduling
DyMO: Training-Free Diffusion Model Alignment with Dynamic Multi-Objective SchedulingComputer Vision and Pattern Recognition (CVPR), 2024
Xin Xie
Dong Gong
588
14
0
01 Dec 2024
Dynamic Negative Guidance of Diffusion Models
Dynamic Negative Guidance of Diffusion ModelsInternational Conference on Learning Representations (ICLR), 2024
Felix Koulischer
Johannes Deleu
G. Raya
T. Demeester
Luca Ambrogioni
DiffM
551
18
0
18 Oct 2024
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