평범한 필기장

Paper : https://arxiv.org/abs/2412.15213 Flowing from Words to Pixels: A Noise-Free Framework for Cross-Modality EvolutionDiffusion models, and their generalization, flow matching, have had a remarkable impact on the field of media generation. Here, the conventional approach is to learn the complex mapping from a simple source distribution of Gaussian noise to the target mediarxiv.orgAbstract 기존..

paper : https://arxiv.org/abs/2410.12557 One Step Diffusion via Shortcut ModelsDiffusion models and flow-matching models have enabled generating diverse and realistic images by learning to transfer noise to data. However, sampling from these models involves iterative denoising over many neural network passes, making generation slow aarxiv.orgAbstract본 논문은 shortcut model을 제안한다. 이는 single network를..