layer-decomposition

This paper introduces TriLayer, a large-scale video dataset with foreground-background-composite triplets, and DBL-Diffusion, a dual-branch diffusion framework for explicit layered video representation, enabling high-fidelity object insertion and layer decomposition.

This paper introduces WattLayer, a task-independent layer-wise energy estimation model for neural networks, evaluated on over 100,000 layers across 295 architectures, achieving a median error of 19.6% and outperforming state-of-the-art methods.

Investigates whether synthetic layered data can improve graphic design decomposition, finding that synthetic data outperforms non-scalable datasets and enables balanced layer-count distributions.