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

