Gaussian Splatting: 3D Reconstruction and Novel View Synthesis, a Review
A Dalal, D Hagen, KG Robbersmyr… - IEEE Access, 2024 - ieeexplore.ieee.org
Image-based 3D reconstruction is a challenging task that involves inferring the 3D shape of
an object or scene from a set of input images. Learning-based methods have gained …
an object or scene from a set of input images. Learning-based methods have gained …
[HTML][HTML] GRAN: ghost residual attention network for single image super resolution
Recently, many works have designed wider and deeper networks to achieve higher image
super-resolution performance. Despite their outstanding performance, they still suffer from …
super-resolution performance. Despite their outstanding performance, they still suffer from …
FSF-Net: Enhance 4D Occupancy Forecasting with Coarse BEV Scene Flow for Autonomous Driving
4D occupancy forecasting is one of the important techniques for autonomous driving, which
can avoid potential risk in the complex traffic scenes. Scene flow is a crucial element to …
can avoid potential risk in the complex traffic scenes. Scene flow is a crucial element to …