LinCa: Accelerating Diffusion Models via Learnable Decomposed Feature Caching
LinCa decomposes cached features into sub-components with distinct continuity properties via a lightweight invertible network and applies differentiated prediction orders matched to each component, forming a unified Decompose-Predict-Reconstruct pipeline.