World Model

World ModelsMeta Author：David Ha Conference：NeurIPS 2018 Link：World Models Intro 理解大脑内部预测模型的一种方式认为：它或许不只是泛泛地预测未来，而是在给定当前运动动作的条件下预测未来的感官数据 RNN-based world models + controllers Method framework: VAE (V) Model MDN-RNN (M) Model (RNN with a Mixture Density Network output layer) Controller (C) Model All in All Experiments CarRacing-v0: World Model for Feature Extraction VizDoom Take Cover: Learning Inside of a Dream DreamerV3Meta Author：Google...

DiT From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeersMeta Author：Shanghai Jiao Tong University Conference：ICCV 2025 Link：TaylorSeers Motivation “cache-then-reuse” :远距离步骤复用特征会显著损害生成质量 related work:acceleration techniques: Sampling Timestep Reduction Denoising Network Acceleration: Model Compression-based Feature Caching-based Method Cache-then-forecast Paradigm： 对特征进行时序建模实现对扩散模型未来时间步特征的预测 Framework 泰勒公式： results in text-to-video ...