Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Nonconscious Mimicry

Nonconscious Mimicry

Nonconscious mimicry occurs when individuals alter their mannerisms to match the behaviors and expressions of those nearby, without intention.

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Tumor suppressor role of sFRP‑4 in hepatocellular carcinoma via the Wnt/β‑catenin signaling pathway.

Molecular medicine reports·2021

Same author

Preliminary clinical experience of robot-assisted surgery in treatment with genioplasty.

Scientific reports·2021

Same author

Merging Annulation with Ring Deconstruction: Synthesis of (<i>E</i>)-3-(2-Acyl-1<i>H</i>-benzo[<i>d</i>]imidazol-4-yl)acrylaldehyde Derivatives via I<sub>2</sub>/FeCl<sub>3</sub>-Promoted Dual C(sp<sup>3</sup>)-H Amination/C-N Bond Cleavage.

Organic letters·2021

Same author

MassARRAY multigene screening combined with LDL-C and sdLDL-C detection for more favorable outcomes in type 2 diabetes mellitus therapy.

BMC medical genomics·2021

Same author

Nidogen-1 expression is associated with overall survival and temozolomide sensitivity in low-grade glioma patients.

Aging·2021

Same author

Deep learning-based methods may minimize GBCA dosage in brain MRI.

European radiology·2021

Search research articles

Related Experiment Video

Updated: May 10, 2025

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

Published on: June 3, 2013

Delving Into Invisible Semantics for Generalized One-Shot Neural Human Rendering.

Yihong Lin, Xuemiao Xu, Huaidong Zhang

IEEE Transactions on Visualization and Computer Graphics

|April 22, 2025

Summary

Super-Semantic Disentangled Neural Renderer (SSD-NeRF) improves human rendering by using semantic priors to accurately reconstruct occluded body parts. This method enhances visual quality and structural consistency for unseen views and poses.

More Related Videos

Localizing Protein in 3D Neural Stem Cell Culture: a Hybrid Visualization Methodology

Localizing Protein in 3D Neural Stem Cell Culture: a Hybrid Visualization Methodology

Published on: December 19, 2010

Integration of Animal Behavioral Assessment and Convolutional Neural Network to Study Wasabi-Alcohol Taste-Smell Interaction

Integration of Animal Behavioral Assessment and Convolutional Neural Network to Study Wasabi-Alcohol Taste-Smell Interaction

Published on: August 16, 2024

Related Experiment Videos

Last Updated: May 10, 2025

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

Published on: June 3, 2013

Localizing Protein in 3D Neural Stem Cell Culture: a Hybrid Visualization Methodology

Localizing Protein in 3D Neural Stem Cell Culture: a Hybrid Visualization Methodology

Published on: December 19, 2010

Integration of Animal Behavioral Assessment and Convolutional Neural Network to Study Wasabi-Alcohol Taste-Smell Interaction

Integration of Animal Behavioral Assessment and Convolutional Neural Network to Study Wasabi-Alcohol Taste-Smell Interaction

Published on: August 16, 2024

Area of Science:

Computer Vision
Computer Graphics
Artificial Intelligence

Background:

Traditional neural radiance fields struggle with accurate human reconstruction, especially in occluded areas.
Lack of semantic understanding leads to ambiguous and incomplete renderings.

Purpose of the Study:

To enhance human rendering accuracy in neural radiance fields.
To address limitations in reconstructing occluded body regions.

Main Methods:

Proposed Super-Semantic Disentangled Neural Renderer (SSD-NeRF) utilizing rich regional semantic priors.
Implemented Visible-Invisible Semantic Propagation for coherent semantic assignment to occluded parts.
Developed Region-Wise Texture Propagation to independently extend textures within semantic regions.
Integrated view-aware curricular learning for improved robustness and quality.

Main Results:

SSD-NeRF significantly surpasses existing methods in human rendering.
Achieved superior quality and structural semantic reconstructions for occluded and unseen views.
Demonstrated enhanced consistency and accuracy in rendering complex human poses.

Conclusions:

SSD-NeRF effectively leverages semantic information for high-fidelity human rendering.
The proposed modules successfully handle occlusions and improve texture consistency.
This approach offers a robust solution for realistic human neural rendering across diverse viewpoints and poses.