Diffusion-Lm
foundation model
Diffusion-LM is a language model that applies continuous diffusion to word embeddings for controllable text generation — mapping discrete tokens to continuous embedding vectors…
15,414 technical terms and definitions
foundation model
Diffusion-LM is a language model that applies continuous diffusion to word embeddings for controllable text generation — mapping discrete tokens to continuous embedding vectors…
diffusion map spectral geometry prediction, diffusion map spectral, map spectral geometry, spectral geometry prediction, diffusion map, map spectral, spectral geometry
Diffusion Map Spectral Geometry Prediction with Machine Learning Introduction & Motivation Diffusion Map Spectral Geometry Prediction with Machine Learning addresses a central…
stable diffusion, ddpm, image generation, generative ai
Diffusion models are the generative method behind most modern image, video, and audio synthesis — Stable Diffusion, DALL-E, Midjourney, Sora and their kin. The core idea is almost…
denoising diffusion, ddpm, score based generative, diffusion process
Diffusion Models are generative models that learn to reverse a gradual noising process, transforming pure Gaussian noise back into structured data through iterative denoising…
dpm solver fast sampling, consistency model distillation, latent consistency model, fast diffusion sampling
Diffusion Model Acceleration (DDIM, DPM-Solver, Consistency Models, Latent Consistency) is a collection of techniques that reduce the sampling steps required by diffusion models…
ddpm score matching, stable diffusion latent, diffusion sampling guidance, classifier free guidance diffusion
Diffusion Models are the class of generative models that learn to reverse a gradual noising process — training a neural network to iteratively denoise random Gaussian noise back…
ddpm score matching, noise schedule diffusion, diffusion sampling acceleration, latent diffusion stable diffusion
Diffusion Models are generative models that learn to reverse a gradual noise-addition process, training a neural network to predict and remove noise at each step — generating…
diffusion model denoising prediction and noise schedule optimization, diffusion model denoising, model denoising prediction, denoising prediction noise, diffusion model
Diffusion Model Denoising Prediction and Noise Schedule Optimization Introduction & Motivation Diffusion Model Denoising Prediction and Noise Schedule Optimization addresses…
Diffusion Model Distillation for Speed Introduction & Motivation Diffusion Model Distillation for Speed addresses a central problem in generative modeling of diffusion data: how…
Diffusion Model Distillation for Speed (Extended Study) Introduction & Motivation Diffusion Model Distillation for Speed (Extended Study) addresses a central problem in generative…
Diffusion Model Distillation for Speed (Extended Study) Introduction & Motivation Diffusion Model Distillation for Speed (Extended Study) addresses a central problem in generative…
denoising diffusion ddpm, score matching diffusion, noise schedule diffusion, stable diffusion architecture
Diffusion Models are the generative AI framework that creates high-quality images, audio, video, and 3D content by learning to reverse a gradual noise-addition process — training…
denoising diffusion, ddpm, stable diffusion architecture, latent diffusion
Diffusion Models are the generative AI architecture that creates images (and other data) by learning to reverse a gradual noise-addition process — training a neural network…
denoising diffusion probabilistic, ddpm stable diffusion, noise schedule diffusion, latent diffusion model
Diffusion Models are the generative AI architecture that creates images (and other data) by learning to reverse a gradual noising process — training a neural network…
Diffusion Model Noise Schedule Design Introduction & Motivation Diffusion Model Noise Schedule Design addresses a central problem in generative modeling of diffusion data: how…
Diffusion Model Noise Schedule Design (Extended Study) Introduction & Motivation Diffusion Model Noise Schedule Design (Extended Study) addresses a central problem in generative…
Diffusion Model Noise Schedule Design (Extended Study) Introduction & Motivation Diffusion Model Noise Schedule Design (Extended Study) addresses a central problem in generative…
Diffusion Model Noise Schedule Design (Extended Study) Introduction & Motivation Diffusion Model Noise Schedule Design (Extended Study) addresses a central problem in generative…
DDPM, DDIM, classifier free guidance, noise schedule, diffusion inference
Diffusion Model Sampling and Inference covers the techniques for generating high-quality samples from trained diffusion models — including DDPM's stochastic sampling, DDIM's…
generative models
Diffusion model training is the process of training a denoising network to reverse a staged noise corruption process across many timesteps - it teaches the model to reconstruct…
Diffusion Model Training Methods Introduction & Motivation Diffusion Model Training Methods addresses a central problem in generative generation and denoising-quality-progression…
sora video model, video diffusion temporal, video token prediction, wan video model
Video Generation with Diffusion Models: Temporal Coherence and Scaling — generating minutes of high-quality video via latent diffusion Video generation extends image diffusion…
diffusion model, fick law modeling, dopant diffusion model, semiconductor diffusion model, thermal diffusion model, diffusion coefficient calculation, diffusion simulation, diffusion mathematics
Mathematical Modeling of Diffusion in Semiconductor Manufacturing 1. Fundamental Governing Equations 1.1 Fick's Laws of Diffusion The foundation of diffusion modeling…
diffusion model generative, denoising diffusion, ddpm ddim, latent diffusion models, stable diffusion models, text to image diffusion
Diffusion models are the generative method behind most modern image, video, and audio synthesis — Stable Diffusion, DALL-E, Midjourney, Sora and their kin. The core idea is almost…
diffusion models, models denoising, cifar dall ddpm passed, diffusion models denoising & ddpm, diffusion models denoising, models denoising ddpm, denoising ddpm
Diffusion Models: Denoising & DDPM Introduction & Motivation Diffusion models: iterative denoising process. DDPM: Denoising Diffusion Probabilistic Models. Forward: add noise…
diffusion models denoising score matching generative modeling, diffusion models, denoising score matching, 10k 123k 30k 32gb 3d 3m, diffusion models denoising
Diffusion Models: Denoising, Score Matching, and Generative Modeling 1. Introduction & Motivation Diffusion models have emerged as a powerful class of generative models that…
Diffusion Models for 3D Shape Generation Introduction & Motivation Diffusion Models for 3D Shape Generation addresses a central problem in generative modeling of diffusion data…
Diffusion Models for 3D Shape Generation (Extended Study) Introduction & Motivation Diffusion Models for 3D Shape Generation (Extended Study) addresses a central problem…
Diffusion Models for 3D Shape Generation (Extended Study) Introduction & Motivation Diffusion Models for 3D Shape Generation (Extended Study) addresses a central problem…
Diffusion Models for Audio Generation Introduction & Motivation Diffusion Models for Audio Generation addresses a central problem in generative modeling of diffusion data: how…
Diffusion Models for Audio Generation (Extended Study) Introduction & Motivation Diffusion Models for Audio Generation (Extended Study) addresses a central problem in generative…
Diffusion Models for Audio Generation (Extended Study) Introduction & Motivation Diffusion Models for Audio Generation (Extended Study) addresses a central problem in generative…
graph neural networks
Diffusion Models for Graphs (GDSS/DiGress) apply denoising diffusion probabilistic modeling to discrete graph structures — gradually corrupting a graph into noise (random edge…
Diffusion Models for Molecule Generation Introduction & Motivation Diffusion Models for Molecule Generation addresses a central problem in generative modeling of diffusion data…
Diffusion Models for Molecule Generation (Extended Study) Introduction & Motivation Diffusion Models for Molecule Generation (Extended Study) addresses a central problem…
Diffusion Models for Molecule Generation (Extended Study) Introduction & Motivation Diffusion Models for Molecule Generation (Extended Study) addresses a central problem…
Diffusion Models for Video Generation Introduction & Motivation Diffusion Models for Video Generation addresses a central problem in generative modeling of diffusion data: how…
Diffusion Models for Video Generation (Extended Study) Introduction & Motivation Diffusion Models for Video Generation (Extended Study) addresses a central problem in generative…
Diffusion Models for Video Generation (Extended Study) Introduction & Motivation Diffusion Models for Video Generation (Extended Study) addresses a central problem in generative…
denoising process, ddpm score matching
Diffusion models generate images by learning to reverse a gradual noising process. Forward process: Gradually add Gaussian noise to image over T steps until it becomes pure noise.…
sora video generation, stable video diffusion, video synthesis deep learning, temporal diffusion models
Diffusion Models for Video Generation are generative architectures that extend image diffusion frameworks to the temporal dimension, learning to denoise sequences of video frames…
graph neural networks
Diffusion on Graphs describes the process by which a signal (heat, probability, information, influence) spreads from a node to its neighbors over time according to the graph…
thermal diffusion, dopant diffusion
Diffusion — the thermal process by which dopant atoms migrate into a semiconductor lattice driven by concentration gradients, historically the primary doping method before ion…
simulation
Diffusion Simulation is the TCAD computational modeling of dopant atom migration through the silicon crystal lattice during thermal processing — predicting the spatial…
dit, scalable diffusion, dit architecture, latent diffusion transformer
Diffusion Transformer (DiT) is the architecture that replaces the traditional U-Net backbone in diffusion models with a pure Transformer design — using self-attention over patched…
dit architecture, class conditional dit, latent diffusion dit, scalable diffusion model
Diffusion Transformers (DiT) are the generative image architecture that replaces the traditional U-Net backbone in latent diffusion models with a standard Vision Transformer…
multimodal ai
Diffusion Upscaler is a super-resolution approach that uses diffusion denoising to generate high-resolution details - It can produce photorealistic high-frequency content…
digital signatures rsa pss, digital signatures rsa, signatures rsa pss, digital signatures, signatures rsa, rsa pss
Digital Signatures RSA PSS Introduction & Motivation Digital Signatures RSA PSS addresses a central problem in cryptography process control and signature-length-key-dependent…
digital thread and model based systems engineering for manufacturing, digital thread model systems engineering manufacturing, digital thread, model systems engineering
Digital Thread and Model-Based Systems Engineering for Manufacturing Introduction & Motivation Digital Thread and Model-Based Systems Engineering for Manufacturing addresses…
dac linearity and distortion characterization, dac linearity distortion, linearity distortion characterization, dac linearity, linearity distortion, distortion characterization
DAC Linearity and Distortion Characterization Introduction & Motivation DAC Linearity and Distortion Characterization addresses a central problem in analog process control…