Results 81 to 90 of about 1,683,484 (294)

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

open access: yesIEEE 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   +2 more
doaj   +1 more source

Yeast Gcn2 retains activity following humanization of its auto‐phosphorylation region

open access: yesFEBS Open Bio, EarlyView.
Using Saccharomyces cerevisiae as a model to study Gcn2 activation and regulation is limited by the lack of antibodies detecting phosphorylated Gcn2. To overcome this, we engineered Gcn2‐HsC, a yeast Gcn2 variant recognizable by commercial anti‐human phospho‐GCN2 antibodies.
Reuben A. Anderson   +2 more
wiley   +1 more source

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

open access: yesIEEE 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

ReTR: Modeling Rendering Via Transformer for Generalizable Neural Surface Reconstruction

open access: yes, 2023
Generalizable neural surface reconstruction techniques have attracted great attention in recent years. However, they encounter limitations of low confidence depth distribution and inaccurate surface reasoning due to the oversimplified volume rendering ...
He, Hao, Liang, Yixun, Chen, Ying Cong
core  

Accurate and noninvasive prostate cancer detection using plasma‐derived extracellular vesicle RNA

open access: yesFEBS Open Bio, EarlyView.
Plasma extracellular vesicles were captured with WGA‐conjugated magnetic beads and profiled for RNA biomarkers. A three‐RNA panel (NM_024955, NR_047469, and NR_002564) distinguished prostate cancer from healthy controls and benign prostatic hyperplasia, supporting a simple, noninvasive approach to improve prostate cancer detection.
Hanping Wei, Haoran Wu, Wei Feng
wiley   +1 more source

Construction and Application of GAN Enhanced Virtual Interpretation Model for Sports Communication

open access: yesEngineering Reports
At present, virtual commentators used in sports video broadcasting still exhibit issues such as unnatural facial expressions and inconsistencies between lip movements and audio synchronization.
Li Zhang   +3 more
doaj   +1 more source

MVS-GS: High-Quality 3D Gaussian Splatting Mapping via Online Multi-View Stereo

open access: yesIEEE Access
This study addresses the challenge of online 3D model generation for neural rendering using an RGB image stream. Previous research has tackled this issue by incorporating Neural Radiance Fields (NeRF) or 3D Gaussian Splatting (3DGS) as scene ...
Byeonggwon Lee   +4 more
doaj   +1 more source

Object-Centric Neural Scene Rendering

open access: yesCoRR, 2020
We present a method for composing photorealistic scenes from captured images of objects. Our work builds upon neural radiance fields (NeRFs), which implicitly model the volumetric density and directionally-emitted radiance of a scene. While NeRFs synthesize realistic pictures, they only model static scenes and are closely tied to specific imaging ...
Michelle Guo   +3 more
openaire   +2 more sources

Adenosine triphosphate as a modulator of protein interactions and stability

open access: yesFEBS Open Bio, EarlyView.
ATP is best known as the cell's energy currency, but it also shapes how proteins fold, interact, aggregate and form biomolecular condensates. This review explains the emerging physical principles behind these effects, including weak binding to charged protein regions, magnesium‐dependent behaviour and concentration‐dependent control of protein ...
Shuyuan Tan, Robin Curtis
wiley   +1 more source

LEMON: Localized Editing With Mesh Optimization and Neural Shaders

open access: yesIEEE Open Journal of Signal Processing
We present LEMON, a mesh editing pipeline that integrates neural deferred shading with localized mesh optimization to enable fast and precise editing of polygonal meshes guided by text prompts.
Furkan Mert Algan   +4 more
doaj   +1 more source

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