Cultural heritage preservation through dance digitization: A review
MR Reshma, B Kannan, VPJ Raj, S Shailesh - Digital Applications in …, 2023 - Elsevier
Abstract 'Cultural heritage conservation'encompasses all actions and measures taken
towards the life of cultural heritage while strengthening the long-term preservation of its …
towards the life of cultural heritage while strengthening the long-term preservation of its …
Neus2: Fast learning of neural implicit surfaces for multi-view reconstruction
Recent methods for neural surface representation and rendering, for example NeuS, have
demonstrated the remarkably high-quality reconstruction of static scenes. However, the …
demonstrated the remarkably high-quality reconstruction of static scenes. However, the …
Neural fields in visual computing and beyond
Recent advances in machine learning have led to increased interest in solving visual
computing problems using methods that employ coordinate‐based neural networks. These …
computing problems using methods that employ coordinate‐based neural networks. These …
[PDF][PDF] Deep review and analysis of recent nerfs
Neural radiance fields (NeRFs) refer to a suit of deep neural networks that are used to learn
and represent objects or scenes. Generally speaking, NeRFs have five main characters …
and represent objects or scenes. Generally speaking, NeRFs have five main characters …
Advances in neural rendering
Synthesizing photo‐realistic images and videos is at the heart of computer graphics and has
been the focus of decades of research. Traditionally, synthetic images of a scene are …
been the focus of decades of research. Traditionally, synthetic images of a scene are …
Neural actor: Neural free-view synthesis of human actors with pose control
We propose Neural Actor (NA), a new method for high-quality synthesis of humans from
arbitrary viewpoints and under arbitrary controllable poses. Our method is developed upon …
arbitrary viewpoints and under arbitrary controllable poses. Our method is developed upon …
Neural feature fusion fields: 3d distillation of self-supervised 2d image representations
We present Neural Feature Fusion Fields (N3F),\a method that improves dense 2D image
feature extractors when the latter are applied to the analysis of multiple images …
feature extractors when the latter are applied to the analysis of multiple images …
Neural head avatars from monocular rgb videos
Abstract We present Neural Head Avatars, a novel neural representation that explicitly
models the surface geometry and appearance of an animatable human avatar that can be …
models the surface geometry and appearance of an animatable human avatar that can be …
Neural rays for occlusion-aware image-based rendering
We present a new neural representation, called Neural Ray (NeuRay), for the novel view
synthesis task. Recent works construct radiance fields from image features of input views to …
synthesis task. Recent works construct radiance fields from image features of input views to …
Sherf: Generalizable human nerf from a single image
Abstract Existing Human NeRF methods for reconstructing 3D humans typically rely on
multiple 2D images from multi-view cameras or monocular videos captured from fixed …
multiple 2D images from multi-view cameras or monocular videos captured from fixed …