publié le: 2023
By absorbing the merits of both the model- and data-driven methods, deep physics-engaged learning scheme achieves high-accuracy and interpretable imag...
In this work, we explore the usage of the frequency transformation for reducing the domain shift between the source and target domain (e.g., synthetic...
To synthesize a realistic action sequence based on a single human image, it is crucial to model both motion patterns and diversity in the action video...
Current object detectors typically have a feature pyramid (FP) module for multi-level feature fusion (MFF) which aims to mitigate the gap between feat...
Novel view synthesis using implicit neural functions such as Neural Radiance Field (NeRF) has achieved significant progress recently. However, it is v...
