Diffusion Model Guidance

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28 papers in the last four weeks, up 75% on the four weeks before. 0.3% of all new papers.

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MotionGRPO: Overcoming Low Intra-Group Diversity in GRPO-Based Egocentric Motion Recovery
May 7, 2026Nanjie Yao, Junlong Ren, Wenhao Shen +1Diffusion Model Guidance Markerless Motion Capture
The Hong Kong University of Science and Technology (Guangzhou), China · Nanyang Technological University, Singapore
Stage-adaptive audio diffusion modeling
May 6, 2026Xuanhao Zhang, Chang LiText-to-Audio Generation Diffusion Model Guidance
China Pharmaceutical University · University of Science and Technology of China
Large Language Models are Universal Reasoners for Visual Generation
May 5, 2026Sucheng Ren, Chen Chen, Zhenbang Wang +5Diffusion Model Guidance Image Generation
1Johns Hopkins University · 2Apple
DMGD: Train-Free Dataset Distillation with Semantic-Distribution Matching in Diffusion Models
May 5, 2026Qichao Wang, Yunhong Lu, Hengyuan Cao +2Diffusion Model Guidance Dataset Distillation
Zhejiang University · Shanghai Institute for Advanced Study-Zhejiang University · Shanghai Institute for Mathematics and Interdisciplinary Sciences
Towards accurate extreme event likelihoods from diffusion model climate emulators
May 5, 2026Peter Manshausen, Noah Brenowitz, Julius Berner +2Diffusion Model Guidance Climate Science
NVIDIA, Santa Clara, CA, USA
Stylistic Attribute Control in Latent Diffusion Models
May 4, 2026Max Reimann, Benito Buchheim, Jürgen DöllnerDiffusion Model Guidance Latent Diffusion Models
Hasso-Plattner-Institute, University of Potsdam, Germany
Difix3D-W: Distractor-Free Few-Shot 3D Gaussian Splatting in the Wild
Apr 30, 2026Wongi Park, Jordan A. James, Myeongseok Nam +43D Gaussian Splatting Diffusion Model Guidance
1Ajou Univerity · University of Texas at Arlington · 3GenGenAI +2
Delta Score Matters! Spatial Adaptive Multi Guidance in Diffusion Models
Apr 29, 2026Haosen Li, Wenshuo Chen, Lei Wang +4Diffusion Model Guidance Classifier-Free Guidance
1The Hong Kong University of Science and Technology (Guangzhou) · 2Griffith University & Data61/CSIRO
ACPO: Anchor-Constrained Perceptual Optimization for Diffusion Models with No-Reference Quality Guidance
Apr 29, 2026Yang Yang, Feifan Meng, Han Fang +1Diffusion Model Guidance Diffusion Model Fine-Tuning
School of Electronic and Information Engineering, Anhui University · Institute of Artificial Intelligence, Hefei Comprehensive National Science Center · School of Cyber Science and Technology, University of Science and Technology of China
The Safety-Aware Denoiser for Text Diffusion Models
Apr 28, 2026Amman Yusuf, Zhejun Jiang, Mijung ParkDiffusion Model Guidance Diffusion Language Models
Department of Computer Science, The University of British Columbia, Vancouver, Canada.
GeoEdit: Local Frames for Fast, Training-Free On-Manifold Editing in Diffusion Models
Apr 27, 2026Yiming Zhang, Sitong Liu, Ke Li +3Diffusion Model Guidance Diffusion-Based Image Editing
University of California San Diego, La Jolla, CA, USA · University of Washington, Seattle, WA, USA · Xidian University, Xi’an, China
Bridging Restoration and Generation Manifolds in One-Step Diffusion for Real-World Super-Resolution
Apr 27, 2026Shyang-En Weng, Yi-Cheng Liao, Yu-Syuan Xu +2Diffusion Model Inversion Diffusion Models for Image Restoration
National Yang Ming Chiao Tung University, Hsinchu, Taiwan · MediaTek Inc., Taiwan
Structure-Guided Diffusion Model for EEG-Based Visual Cognition Reconstruction
Apr 24, 2026Yongxiang Lian, Yueyang Cang, Pingge Hu +2Diffusion Model Guidance EEG-Based Visual Decoding
Department of Automation Tsinghua University Haidian District, 100084, Beijing, China · China Academy of Information and Communications Technology Haidian District, 100084, Beijing, China
AttDiff-GAN: A Hybrid Diffusion-GAN Framework for Facial Attribute Editing
Apr 23, 2026Wenmin Huang, Weiqi Luo, Xiaochun Cao +1Diffusion Model Guidance Diffusion-Based Image Editing
GuangDong Province Key Lab of Information Security Technology and School of Computer Science and Engineering, Sun Yat-sen University, Guangdong 510000, China · School of Cyber Science and Technology, Shenzhen Campus, Sun Yat-sen University, Shenzhen 518107, China · Guangdong Laboratory of Machine Perception and Intelligent Computing, Faculty of Engineering, Shenzhen MSU-BIT University, Shenzhen, 518116, China
LatRef-Diff: Latent and Reference-Guided Diffusion for Facial Attribute Editing and Style Manipulation
Apr 23, 2026Wenmin Huang, Weiqi Luo, Xiaochun Cao +1Diffusion Model Guidance Image Style Transfer
GuangDong Province Key Lab of Information Security Technology and School of Computer Science and Engineering, Sun Yat-sen University, Guangdong 510000, China · School of Cyber Science and Technology, Shenzhen Campus, Sun Yat-sen University, Shenzhen 518107, China · Guangdong Laboratory of Machine Perception and Intelligent Computing, Faculty of Engineering, Shenzhen MSU-BIT University, Shenzhen, 518116, China
MMControl: Unified Multi-Modal Control for Joint Audio-Video Generation
Apr 21, 2026Liyang Li, Wen Wang, Canyu Zhao +4Diffusion Model Guidance Audio-Video Generation
Zhejiang University, Hangzhou, China
DiffuSAM: Diffusion Guided Zero-Shot Object Grounding for Remote Sensing Imagery
Apr 20, 2026Geet Sethi, Panav Shah, Ashutosh Gandhe +1Remote Sensing Image Understanding Diffusion Model Guidance
Indian Institute of Technology Bombay
Class-specific diffusion models improve military object detection in a low-data domain
Apr 20, 2026Ella P. Fokkinga, Jan Erik van Woerden, Thijs A. Eker +4Synthetic Data Augmentation Diffusion Model Guidance
TNO - Intelligent Imaging, Oude Waalsdorperweg 63, the Hague, the Netherlands
DGSSM: Diffusion guided state-space models for multimodal salient object detection
Apr 19, 2026Suklav Ghosh, Arijit Sur, Pinaki MitraDiffusion Model Guidance Salient Object Detection
Dept. of Computer Science and Engineering, Indian Institute of Technology, Guwahati
UniGeo: Unifying Geometric Guidance for Camera-Controllable Image Editing via Video Models
Apr 19, 2026Hong Jiang, Wensong Song, Zongxin Yang +2Multi-View Consistency Diffusion Model Guidance
ReLER, CCAI, Zhejiang University · DBMI, HMS, Harvard University
Safer Trajectory Planning with CBF-guided Diffusion Model for Unmanned Aerial Vehicles
Apr 19, 2026Peiwen Yang, Shiyu Bai, Weisong Wen +2Diffusion Model Guidance UAV Navigation
Department of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University, Hong Kong
When Earth Foundation Models Meet Diffusion: An Application to Land Surface Temperature Super-Resolution
Apr 18, 2026Yiheng Chen, Zihui Ma, Peishi Jiang +6Diffusion Model Guidance Remote Sensing Image Super-Resolution
University of Alabama · Emory University · University of Michigan +2
Generative Semantic Communication via Alternating Dual-Domain Posterior Sampling
Apr 18, 2026Shunpu Tang, Qianqian YangDiffusion Model Guidance Semantic Communication
College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China
Motion-Adapter: A Diffusion Model Adapter for Text-to-Motion Generation of Compound Actions
Apr 17, 2026Yue Jiang, Mingyu Yang, Liuyuxin Yang +3Diffusion Model Guidance Text-to-Motion Generation
School of Computer Science, Northwest University, Xi’an, China
UniRect-CoT: Enhancing Generation in Unified Multimodal Models via Reflective Rectification with Inherent Understanding
Apr 15, 2026Yibo Jiang, Tao Wu, Rui Jiang +4Diffusion Model Guidance Unified Multimodal Models
School of Software Technology, Zhejiang University · College of Computer Science and Technology, Zhejiang University
Finetuning-Free Diffusion Model with Adaptive Constraint Guidance for Inorganic Crystal Structure Generation
Apr 14, 2026Auguste de Lambilly, Vladimir Baturin, David Portehault +4Diffusion Model Guidance Crystal Structure Generation
CNRS-Saint-Gobain-NIMS, IRL 3629, Laboratory for Innovative Key Materials and Structures (LINK), 1-1 Namiki, 305-0044 Tsukuba, Japan · LTCI, Télécom Paris, Institut Polytechnique de Paris, France · Laboratoire de Chimie de la Matière Condensée de Paris (LCMCP), Sorbonne Université, CNRS, 4 place Jussieu, F-75005 Paris, France +2
PASDiff: Physics-Aware Semantic Guidance for Joint Real-World Low-Light Face Enhancement and Restoration
Mar 26, 2026Yilin Ni, Wenjie Li, Zhengxue Wang +3Diffusion Model Guidance Low-Light Image Enhancement
College of Automation, Nanjing University of Posts and Telecommunications, Nanjing, China · School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China · PCA Lab, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China +1
EgoForge: Goal-Directed Egocentric World Simulator
Mar 20, 2026Yifan Shen, Jiateng Liu, Xinzhuo Li +9HOI Generation Diffusion Model Guidance
University of Illinois Urbana-Champaign · University of California San Diego
Scene Generation at Absolute Scale: Utilizing Semantic and Geometric Guidance From Text for Accurate and Interpretable 3D Indoor Scene Generation
Mar 14, 2026Stefan Ainetter, Thomas Deixelberger, Edoardo A. Dominici +3Diffusion Model Guidance 3D Scene Generation
Huawei Technologies, Austria · Graz University of Technology, Austria · Huawei Technologies, Switzerland
Adaptive Weighted h-Transform Sampling for Coarse-Guided Visual Generation
Mar 12, 2026Yanghao Wang, Ziqi Jiang, Zhen Wang +1Diffusion Model Guidance Diffusion Guidance
The Hong Kong University of Science and Technology

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MotionGRPO: Overcoming Low Intra-Group Diversity in GRPO-Based Egocentric Motion Recovery

Nanjie Yao, Junlong Ren, Wenhao Shen, Hao Wang

The Hong Kong University of Science and Technology (Guangzhou), China · Nanyang Technological University, Singapore

Diffusion Model Guidance Markerless Motion Capture Group Relative Policy Optimization RL for Diffusion Models

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This paper studies full-body 3D human motion recovery from head-mounted device signals. Existing diffusion-based methods often rely on global distribution matching, leading to local joint reconstruction errors. We propose MotionGRPO, a novel framework leveraging reinforcement learning post-training to inject fine-grained guidance into the diffusion process. Technically, we model diffusion sampling as a Markov decision process optimized via Group Relative Policy Optimization (GRPO). To this end, we introduce a hybrid reward mechanism that combines a learned conditioned perceptual model for global visual plausibility and explicit constraints for local joint precision. Our key technical insight is that policy optimization in diffusion-based recovery suffers from vanishing gradients due to limited intra-group sample diversity. To address this, we further introduce a noise-injection strategy that explicitly increases sample variance and stabilizes learning. Extensive experiments demonstrate that MotionGRPO achieves state-of-the-art performance with superior visual fidelity

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