Thuật ngữ AI
Từ điển đầy đủ về Trí tuệ nhân tạo
Rectified Flow
Method transforming the diffusion path into quasi-linear trajectories, enabling ultra-fast sampling with only 1-2 steps while maintaining quality.
Ordinary Differential Equations (ODE)
Deterministic formulation of diffusion equations eliminating randomness, allowing for faster and more predictable solvers for sample generation.
Euler Method
Simple but effective numerical solver for diffusion differential equations, offering a good compromise between speed and precision for accelerated sampling.
Heun Solver
Second-order Runge-Kutta solver offering better precision than the Euler method, ideal for diffusion models requiring high quality with few steps.
Noise Prediction Networks
Neural architecture specialized in predicting noise at each denoising step, fundamental for fast sampling methods.
Trajectory Rectification
Technique optimizing the denoising path to make it more direct, reducing the distance traveled and enabling sampling with fewer steps.