Results 71 to 80 of about 1,597,404 (298)

IVAH: Invisible-Region Augmented Human Rendering From Monocular Images

IEEE Access
Most neural radiance field (NeRF)-based human rendering methods rely on per-subject optimization or multi-view data input to reconstruct the 3D radiance field of human subjects.
Do Yeop Kim, Ju Yong Chang
doaj   +1 more source

Object-Centric Neural Scene Rendering

CoRR, 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, Alireza Fathi, Jiajun Wu 0001, Thomas A. Funkhouser   +3 more
openaire   +2 more sources

Neural Path Sampling for Rendering Pure Specular Light Transport

Multi‐bounce, pure specular light paths produce complex lighting effects, such as caustics and sparkle highlights, which are challenging to render due to their sparse and diverse nature. We introduce a learning‐based method for the efficient rendering of
Kong, Youkang, Tong, Xin, Yu, Rui, Dong, Yue   +3 more
core   +1 more source

Translophagy—A potential link between autophagy impairment and translational errors

FEBS Letters, EarlyView.
Neurodegenerative diseases are characterised by the accumulation of abnormal proteins and protein aggregates, but their origin often remains unknown. We propose that selective autophagy removes damaged protein‐making machinery, preventing errors during protein synthesis.
Mykola V. Korolchuk, Gailing Ma, Robin Antrobus, Diego Manni, Marco Trevisan‐Herraz, Mustafa Khwaja, Max Brown, Gavin D. Richardson, Masaaki Komatsu, Daniel Erskine, Viktor I. Korolchuk, Tetsushi Kataura   +11 more
wiley   +1 more source

Monte Carlo Noise Reduction Algorithm Based on Deep Neural Network in Efficient Indoor Scene Rendering System

Advances in Multimedia, 2022
Because of its flexibility and universality, Monte Carlo integral has become the preferred algorithm of most realistic image synthesis. However, the quality of rendered images is often affected by the estimated variance, which is mainly reflected in ...
Xiwen Chen, Jianfei Shen
doaj   +1 more source

MesoGAN: Generative Neural Reflectance Shells

, 2023
We introduce MesoGAN, a model for generative 3D neural textures. This new graphics primitive represents mesoscale appearance by combining the strengths of generative adversarial networks (StyleGAN) and volumetric neural field rendering. The primitive can
Rousselle, Fabrice, Novak, Jan, Drettakis, George, Granskog, Jonathan, Ramamoorthi, Ravi, Diolatzis, Stavros, Aittala, Miika   +6 more
core   +1 more source

Metastasis on pause: How dormant tumor cells stay hidden within the tumor microenvironment and evade immune surveillance

Molecular Oncology, EarlyView.
Dormant cancer cells can hide in distant organs for years, evading treatment and the immune system. This review highlights how signals from the surrounding tissue and immune environment keep these cells inactive or trigger their reawakening. Understanding these mechanisms may help develop therapies to eliminate or control dormant cells and prevent ...
Kanishka Tiwary, Jose Javier Bravo‐Cordero   +1 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

Epigenetic heterogeneity and plasticity in therapy‐induced tumor states through single‐cell multi‐omics

Molecular Oncology, EarlyView.
Single‐cell multi‐omics reveals epigenetic heterogeneity across therapy‐adaptive tumor states, including quiescent/dormant, drug‐tolerant persister, and EMT‐like phenotypes. By linking regulatory features with state‐associated biomarkers, these approaches inform biomarker‐guided therapeutic strategies for evolving tumors.
Hee Jung Kim, Hwiyeong Lee, Jin Hong, Daechan Park   +3 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