#Rendering

Generalizable NeRF Transformer (GNT) employs transformers to reconstruct Neural Radiance Fields efficiently. It utilizes a dual-stage architecture with attention mechanisms for scene representation and rendering, achieving results comparable to state-of-the-art methods. GNT demonstrates improvements in PSNR and capabilities in depth and occlusion inference, optimized for various datasets.

GaussianDreamerPro enhances 3D Gaussian generation by integrating defined geometries. This framework offers detailed 3D assets suitable for animation and simulation, maintaining controlled Gaussian growth for improved quality and usability across various processes.