Diffusion Model
نموذج الانتشار
نموذج توليدي يتعلّم توليد البيانات بعكس عملية إضافة ضوضاء تدريجية: يبدأ من ضوضاء صِرفة ويُزيلها خطوة بخطوة حتى تظهر عينة نظيفة.
A generative model that learns to generate data by reversing a gradual noise-adding process: starting from pure noise and removing it step by step until a clean sample emerges.
Also translated asخوارزميات التخليق عبر إزالة الضجيج، نماذج التشتت والتركيب العكسي، نموذج انتشاري، نموذج توليدي انتشاري
First appears in this corpus in: A Learning Algorithm for Boltzmann Machines (1985)
Appears in these papers
- A Learning Algorithm for Boltzmann Machines1985in the sky ✦
- Classifier-Free Diffusion Guidance2022in the sky ✦
- Classifier-Free Diffusion Guidance2022in the sky ✦
- Consistency Models2023in the sky ✦
- DALL·E: Zero-Shot Text-to-Image Generation2021in the sky ✦
- Denoising Diffusion Implicit Models2021in the sky ✦
- Denoising Diffusion Implicit Models2021in the sky ✦
- Denoising Diffusion Probabilistic Models2020in the sky ✦
- Denoising Diffusion Probabilistic Models2020in the sky ✦
- Extracting and Composing Robust Features with Denoising Autoencoders2008in the sky ✦
- Diffusion Models Beat GANs on Image Synthesis2021in the sky ✦
- Diffusion Models Beat GANs on Image Synthesis2021in the sky ✦
- Diffusion Policy: Visuomotor Policy Learning via Action Diffusion2023in the sky ✦
- Diffusion Policy: Visuomotor Policy Learning via Action Diffusion2023in the sky ✦
- Flow Matching for Generative Modeling2023in the sky ✦
- Flow Matching for Generative Modeling2023in the sky ✦
- Generative Adversarial Networks2014in the sky ✦
- GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models2021in the sky ✦
- GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models2021in the sky ✦
- Glow: Generative Flow with Invertible 1×1 Convolutions2018in the sky ✦
- Imagen: Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding2022in the sky ✦
- Imagen: Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding2022in the sky ✦
- High-Resolution Image Synthesis with Latent Diffusion Models2022in the sky ✦
- Symbolic Discovery of Optimization Algorithms2023in the sky ✦
- Symbolic Discovery of Optimization Algorithms2023in the sky ✦
- Mamba: Linear-Time Sequence Modeling with Selective State Spaces2023in the sky ✦
- Neural Ordinary Differential Equations2018in the sky ✦
- π₀: A Vision-Language-Action Flow Model for General Robot Control2024in the sky ✦
- π₀: A Vision-Language-Action Flow Model for General Robot Control2024in the sky ✦
- RMSProp: Divide the Gradient by a Running Average of Its Recent Magnitude2012in the sky ✦
- Generative Modeling by Estimating Gradients of the Data Distribution2019in the sky ✦
- Generative Modeling by Estimating Gradients of the Data Distribution2019in the sky ✦
- SGDR: Stochastic Gradient Descent with Warm Restarts2017in the sky ✦
- Video Generation Models as World Simulators2024in the sky ✦
- Video Generation Models as World Simulators2024in the sky ✦
- Analyzing and Improving the Image Quality of StyleGAN2020in the sky ✦
- Very Deep Convolutional Networks for Large-Scale Image Recognition2014in the sky ✦