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 46
September 9, 2024
September 8, 2024
September 5, 2024
Generating High Dimensional User-Specific Wireless Channels using Diffusion Models
Neural Entropy
DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture
Enhancing User-Centric Privacy Protection: An Interactive Framework through Diffusion Models and Machine Unlearning
RoomDiffusion: A Specialized Diffusion Model in the Interior Design Industry
September 4, 2024
How DREAMS are made: Emulating Satellite Galaxy and Subhalo Populations with Diffusion Models and Point Clouds
Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling
StyleTokenizer: Defining Image Style by a Single Instance for Controlling Diffusion Models
Diffusion Models Learn Low-Dimensional Distributions via Subspace Clustering
SketcherX: AI-Driven Interactive Robotic drawing with Diffusion model and Vectorization Techniques
Exploring Low-Dimensional Subspaces in Diffusion Models for Controllable Image Editing
September 2, 2024
Enhancing Sample Efficiency and Exploration in Reinforcement Learning through the Integration of Diffusion Models and Proximal Policy Optimization
A Financial Time Series Denoiser Based on Diffusion Model
SPDiffusion: Semantic Protection Diffusion Models for Multi-concept Text-to-image Generation
DPDEdit: Detail-Preserved Diffusion Models for Multimodal Fashion Image Editing
3D Priors-Guided Diffusion for Blind Face Restoration