One is all: Bridging the gap between neural radiance fields architectures with progressive volume distillation
Abstract Neural Radiance Fields (NeRF) methods have proved effective as compact, high-
quality and versatile representations for 3D scenes, and enable downstream tasks such as …
quality and versatile representations for 3D scenes, and enable downstream tasks such as …
Pvd-al: Progressive volume distillation with active learning for efficient conversion between different nerf architectures
Neural Radiance Fields (NeRF) have been widely adopted as practical and versatile
representations for 3D scenes, facilitating various downstream tasks. However, different …
representations for 3D scenes, facilitating various downstream tasks. However, different …
Case study of video compression via tensor train and Tucker decompositions
AA Kurilovich, SA Matveev - Computational Mathematics and Modeling, 2023 - Springer
This work represents a study of the capabilities of an approach for lossy video compression
based on the tensor train and Tucker tensor formats. The TTSVD and st-HOSVD algorithms …
based on the tensor train and Tucker tensor formats. The TTSVD and st-HOSVD algorithms …