Results 61 to 70 of about 171,197 (277)

Nation Scale NeRF Reconstruction [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Neural Radiance Field (NeRF) rendering methodologies provide 3D reconstructions which better represent features and characteristics common to built heritage, which are otherwise poorly represented by traditional structure from motion reconstruction and ...
A. Mai, S. McAvoy, S. McAvoy, J. Klingspon, D. Forcellini, F. Kuester   +5 more
doaj   +1 more source

Text-based Editing of Talking-head Video

, 2019
Editing talking-head video to change the speech content or to remove filler words is challenging. We propose a novel method to edit talking-head video based on its transcript to produce a realistic output video in which the dialogue of the speaker has ...
Agrawala, M., Finkelstein, A., Fried, O., Genova, K., Goldman, D., Jin, Z., Shechtman, E., Tewari, A., Theobalt, C., Zollhöfer, M.   +9 more
core   +1 more source

Advances in neural rendering [PDF]

ACM SIGGRAPH 2021 Courses, 2021
Tewari, A., Fried, O., Thies, J., Sitzmann, V., Lombardi, S., Xu, Z., Simon, T., Nießner, M., Tretschk, E., Liu, L., Mildenhall, B., Srinivasan, P., Pandey, R., Orts-Escolano, S., Fanello, S., Guo, M., Wetzstein, G., Zhu, J., Theobalt, C. ; https://orcid.org/0000-0001-6104-6625, Agrawala, M., Goldman, D., Zollhöfer, M.   +21 more
openaire   +2 more sources

Tau acetylation at K331 has limited impact on tau pathology in vivo

FEBS Letters, EarlyView.
We mapped tau post‐translational modifications in humanized MAPT knock‐in mice and in amyloid‐bearing double knock‐in mice. Acetylation within the repeat domain, particularly around K331, showed modest increases under amyloid pathology. To test functional relevance, we generated MAPTK331Q knock‐in mice.
Shoko Hashimoto, Yukio Matsuba, Mika Takahashi, Takaomi C. Saido   +3 more
wiley   +1 more source

ProNeRF: Learning Efficient Projection-Aware Ray Sampling for Fine-Grained Implicit Neural Radiance Fields

IEEE Access
Recent advances in neural rendering have shown that although computationally expensive and slow for training, implicit compact models can accurately learn a scene’s geometries and view-dependent appearances from multiple views.
Juan Luis Gonzalez Bello, Minh-Quan Viet Bui, Munchurl Kim   +2 more
doaj   +1 more source

Eigengrasp-Conditioned Neural Radiance Fields

IEEE Access, 2023
In this study, we address the problem of learning a posture-controllable three-dimensional (3D) representation of articulated robotic hands. Neural radiance fields (NeRFs) have outperformed grid-like 3D representations on a novel view synthesis tasks ...
Hiroaki Aizawa, Itoshi Naramura
doaj   +1 more source

Valosin‐containing protein counteracts ATP‐driven dissolution of FUS condensates through its ATPase activity in vitro

FEBS Letters, EarlyView.
Biomolecular condensates formed by fused in sarcoma (FUS) are dissolved by high ATP concentrations yet persist in cells. Using a reconstituted system, we demonstrate that valosin‐containing protein (VCP), an AAA+ ATPase, counteracts ATP‐driven dissolution of FUS condensates through its D2 ATPase activity.
Hitomi Kimura, Shin‐ichi Tate, Kyota Yasuda   +2 more
wiley   +1 more source

Zero-Shot 3D Scene Representation With Invertible Generative Neural Radiance Fields

IEEE Access
Generative Neural Radiance Fields (NeRFs) have recently enabled efficient synthesis of 3D scenes by training on unposed real image sets. However, existing methods for generating multi-view images of specific input images have limitations, such as ...
Kanghyeok Ko, Sungyup Kim, Minhyeok Lee
doaj   +1 more source

Towards efficient and photorealistic 3D human reconstruction: A brief survey

Visual Informatics, 2021
Reconstructing 3D digital models of humans from sensory data is a long-standing problem in computer vision and graphics with a variety of applications in VR/AR, film production, and human–computer interaction, etc.
Lu Chen, Sida Peng, Xiaowei Zhou
doaj   +1 more source

MeshAdv: Adversarial Meshes for Visual Recognition

, 2019
Highly expressive models such as deep neural networks (DNNs) have been widely applied to various applications. However, recent studies show that DNNs are vulnerable to adversarial examples, which are carefully crafted inputs aiming to mislead the ...
Deng, Jia, Li, Bo, Liu, Mingyan, Xiao, Chaowei, Yang, Dawei   +4 more
core   +1 more source