Results 81 to 90 of about 1,597,404 (298)

Generalizable Neural Human Renderer

open access: yesCoRR
While recent advancements in animatable human rendering have achieved remarkable results, they require test-time optimization for each subject which can be a significant limitation for real-world applications. To address this, we tackle the challenging task of learning a Generalizable Neural Human Renderer (GNH), a novel method for rendering animatable
Mana Masuda   +4 more
openaire   +3 more sources

Spatial biology in cancer epigenetics

open access: yesMolecular Oncology, EarlyView.
Spatial epigenomics combines molecular profiling with tissue architecture to reveal how gene regulation is organized within intact tissues. In cancer, these technologies uncover the mechanisms driving tumor heterogeneity and microenvironmental interactions, opening new opportunities for biomarker discovery and precision medicine.
Eva Crespo‐García, Manel Esteller
wiley   +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

High-fidelity rendering on shared computational resources [PDF]

open access: yes
The generation of high-fidelity imagery is a computationally expensive process and parallel computing has been traditionally employed to alleviate this cost.
Aggarwal, Vibhor
core  

ADP‐ribosylation: An emerging regulator of the epigenome

open access: yesMolecular Oncology, EarlyView.
ADP‐ribosylation has emerged as a dynamic epigenetic signaling mechanism that modifies histones and chromatin‐associated proteins. Through coordinated PARylation and MARylation, it integrates with other histone modifications to regulate chromatin structure, transcription factor activity, and gene expression, influencing genome function and disease ...
Cristel V. Camacho   +2 more
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

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  

Arginine methylation as a regulatory ratchet in cancer: From substrate selection to malignant‐state stabilization

open access: yesMolecular Oncology, EarlyView.
Arginine methylation can be viewed as a persistence‐prone post‐translational modification regulated by a network of PRMTs. Competitive and compensatory interactions among PRMTs can redistribute methylation across substrate pools shaped by sequence, structural, spatial, and environmental layers, reinforcing RNA‐processing, chromatin, and signaling ...
So Hyun Kwon, Ji Min Lee
wiley   +1 more source

Convergence behaviour and computational efficiency of Gaussian Splatting in complex heritage environments

open access: yesVirtual Archaeology Review
This study evaluates the performance of three-dimensional Gaussian Splatting (3DGS) for the documentation and virtualisation of architectural cultural heritage.
Rafael Ortiz-Cordero   +1 more
doaj   +1 more source

DONeRF: Towards Real-Time Rendering of Compact Neural Radiance Fields using Depth Oracle Networks

open access: yes, 2021
The recent research explosion around implicit neural representations, such as NeRF, shows that there is immense potential for implicitly storing high-quality scene and lighting information in compact neural networks.
Mueller, Joerg H.   +7 more
core   +1 more source

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