Single Scene Specific MLP

Single scene specific Multi-Layer Perceptrons (MLPs) are emerging as surprisingly effective alternatives to more complex architectures in various machine learning tasks. Current research focuses on optimizing MLPs for specific applications, such as novel view synthesis in computer vision and temporal action detection in video analysis, often incorporating techniques like multi-input designs or integrating them with other models (e.g., transformers). This renewed interest in MLPs stems from their simplicity, efficiency, and ability to achieve competitive performance, potentially impacting both computational cost and the development of more interpretable models across diverse fields.