Diffusion Model

Diffusion models are generative models that create data by reversing a noise-diffusion process, aiming to generate high-quality samples from complex distributions. Current research focuses on improving efficiency through techniques like stochastic Runge-Kutta methods and dynamic model architectures (e.g., Dynamic Diffusion Transformer), as well as enhancing controllability and safety via methods such as classifier-free guidance and reinforcement learning from human feedback. These advancements are significantly impacting various fields, including medical imaging, robotics, and artistic creation, by enabling novel applications in image generation, inverse problem solving, and multi-modal data synthesis.

2251papers

Papers - Page 40

October 7, 2024

Leveraging Multimodal Diffusion Models to Accelerate Imaging with Side Information
Timofey Efimov, Harry Dong, Megna Shah, Jeff Simmons, Sean Donegan, Yuejie Chi
Accelerated MRI Reconstruction Diffusion Model Side Information Image Reconstruction
HERO: Human-Feedback Efficient Reinforcement Learning for Online Diffusion Model Finetuning
Ayano Hiranaka, Shang-Fu Chen, Chieh-Hsin Lai, Dongjun Kim, Naoki Murata, Takashi Shibuya, Wei-Hsiang Liao, Shao-Hua Sun, Yuki Mitsufuji
Controllable Generation Human Feedback Reinforcement Learning Adversarial Feedback Diffusion Model Reward Model Reinforcement Learning From Human Feedback
Low-Rank Continual Personalization of Diffusion Models
Łukasz Staniszewski, Katarzyna Zaleska, Kamil Deja
Continual Learning Scenario Catastrophic Forgetting Diffusion Model Continual Fine Tuning Large Diffusion Model
FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models
Haokun Chen, Hang Li, Yao Zhang, Jinhe Bi, Gengyuan Zhang, Yueqi Zhang, Philip Torr, Jindong Gu, Denis Krompass, Volker Tresp
One Shot Federated Learning Client Data Heterogeneity Latent Diffusion Model Diffusion Model Heterogeneous Setting
Stochastic Runge-Kutta Methods: Provable Acceleration of Diffusion Models
Yuchen Wu, Yuxin Chen, Yuting Wei
Diffusion Sampler Diffusion Model Generative Model Diffusion Sampling Anderson Acceleration
Diffusion Models in 3D Vision: A Survey
Zhen Wang, Dongyuan Li, Yaozu Wu, Tianyu He, Jiang Bian, Renhe Jiang
3D Object Generation Real World 3D Timely Survey Diffusion Model

October 5, 2024

Compositional Diffusion Models for Powered Descent Trajectory Generation with Flexible Constraints
Julia Briden, Yilun Du, Enrico M. Zucchelli, Richard Linares
Diffusion Model Trajectory Generator Long Horizon Planning Powered Descent Guidance Optimal Trajectory Temporal Trajectory
Accelerating Diffusion Models with One-to-Many Knowledge Distillation
Linfeng Zhang, Kaisheng Ma
Logit Distillation Diffusion Model
IV-Mixed Sampler: Leveraging Image Diffusion Models for Enhanced Video Synthesis
Shitong Shao, Zikai Zhou, Lichen Bai, Haoyi Xiond, Zeke Xie
Step Sampling Video Diffusion Model Diffusion Model Image Diffusion Model

October 4, 2024

AutoLoRA: AutoGuidance Meets Low-Rank Adaptation for Diffusion Models
Artur Kasymov, Marcin Sendera, Michał Stypułkowski, Maciej Zięba, Przemysław Spurek
Low Rank Adaptation Adaptation Concern Diffusion Model Conditional Diffusion Model
ShieldDiff: Suppressing Sexual Content Generation from Diffusion Models through Reinforcement Learning
Dong Han, Salaheldin Mohamed, Yong Li
Complex Reward Function Unsafe Image Diffusion Model Reinforcement Learning Unsafe Content
Real-World Benchmarks Make Membership Inference Attacks Fail on Diffusion Models
Chumeng Liang, Jiaxuan You
Pre Trained Diffusion Model Membership Inference Attack Diffusion Model Practical Benchmark
Not All Diffusion Model Activations Have Been Evaluated as Discriminative Features
Benyuan Meng, Qianqian Xu, Zitai Wang, Xiaochun Cao, Qingming Huang
Diffusion Model Architecture Dense Feature Semantic Segmentation Diffusion Model Discriminative Feature Discriminative Task
Diffusion State-Guided Projected Gradient for Inverse Problems
Rayhan Zirvi, Bahareh Tolooshams, Anima Anandkumar
Natural Gradient Gradient Projection Diffusion Model Diffusion Explainer Inverse Problem Ill Posed Inverse Problem Diffusion Inverse Solver
Dynamic Diffusion Transformer
Wangbo Zhao, Yizeng Han, Jiasheng Tang, Kai Wang, Yibing Song, Gao Huang, Fan Wang, Yang You
Diffusion Transformer Diffusion Model Image Generation
Latent Abstractions in Generative Diffusion Models
Giulio Franzese, Mattia Martini, Giulio Corallo, Paolo Papotti, Pietro Michiardi
Abstraction Learning Generative Process Generative Diffusion Model Generative Model Diffusion Model Diffusion Based Generative Model
Multi-Robot Motion Planning with Diffusion Models
Yorai Shaoul, Itamar Mishani, Shivam Vats, Jiaoyang Li, Maxim Likhachev
Multi Robot System Diffusion Model Robot Data Multi Robot

October 3, 2024

Revealing the Unseen: Guiding Personalized Diffusion Models to Expose Training Data
Xiaoyu Wu, Jiaru Zhang, Steven Wu
Fine Tuning Diffusion Model Unseen Video
Learning Optimal Control and Dynamical Structure of Global Trajectory Search Problems with Diffusion Models
Jannik Graebner, Anjian Li, Amlan Sinha, Ryne Beeson
Restricted Three Body Problem Trajectory Design Trajectory Tracking Diffusion Model Invariant Manifold Optimal Policy
SteerDiff: Steering towards Safe Text-to-Image Diffusion Models
Hongxiang Zhang, Yifeng He, Hao Chen
Text to Image Diffusion Model Text to Image Text Conditioned Image Generation Diffusion Model

Diffusion Model

Papers - Page 40

Leveraging Multimodal Diffusion Models to Accelerate Imaging with Side Information

HERO: Human-Feedback Efficient Reinforcement Learning for Online Diffusion Model Finetuning

Low-Rank Continual Personalization of Diffusion Models

FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models

Stochastic Runge-Kutta Methods: Provable Acceleration of Diffusion Models

Diffusion Models in 3D Vision: A Survey

Compositional Diffusion Models for Powered Descent Trajectory Generation with Flexible Constraints

Accelerating Diffusion Models with One-to-Many Knowledge Distillation

IV-Mixed Sampler: Leveraging Image Diffusion Models for Enhanced Video Synthesis

AutoLoRA: AutoGuidance Meets Low-Rank Adaptation for Diffusion Models

ShieldDiff: Suppressing Sexual Content Generation from Diffusion Models through Reinforcement Learning

Real-World Benchmarks Make Membership Inference Attacks Fail on Diffusion Models

Not All Diffusion Model Activations Have Been Evaluated as Discriminative Features

Diffusion State-Guided Projected Gradient for Inverse Problems

Dynamic Diffusion Transformer

Latent Abstractions in Generative Diffusion Models

Multi-Robot Motion Planning with Diffusion Models

Revealing the Unseen: Guiding Personalized Diffusion Models to Expose Training Data

Learning Optimal Control and Dynamical Structure of Global Trajectory Search Problems with Diffusion Models

SteerDiff: Steering towards Safe Text-to-Image Diffusion Models