ODiffusion
ODiffusion is a computational method and model used in the field of machine learning, particularly for image generation and processing. It is based on the concept of diffusion models, which generate complex data by reversing a noising process. The core idea involves gradually adding noise to training data and then learning to reverse this process to generate new data from random noise.
The methodology behind ODiffusion leverages stochastic differential equations to model the gradual transformation of data during
ODiffusion has been utilized in various applications, including high-quality image synthesis, image editing, and inpainting, owing
The development of ODiffusion is part of a broader trend within generative modeling, aiming to improve the