Results 11 to 20 of about 283,830 (354)

DiffTalk: Crafting Diffusion Models for Generalized Audio-Driven Portraits Animation [PDF]

open access: yesComputer Vision and Pattern Recognition, 2023
Talking head synthesis is a promising approach for the video production industry. Recently, a lot of effort has been devoted in this research area to improve the generation quality or enhance the model generalization. However, there are few works able to
Shuai Shen   +6 more
semanticscholar   +1 more source

Audio-Driven Emotional Video Portraits [PDF]

open access: yesComputer Vision and Pattern Recognition, 2021
Despite previous success in generating audio-driven talking heads, most of the previous studies focus on the correlation between speech content and the mouth shape.
Xinya Ji   +6 more
semanticscholar   +1 more source

RigNeRF: Fully Controllable Neural 3D Portraits [PDF]

open access: yesComputer Vision and Pattern Recognition, 2022
Volumetric neural rendering methods, such as neural radiance fields (NeRFs), have enabled photo-realistic novel view synthesis. However, in their standard form, NeRFs do not support the editing of objects, such as a human head, within a scene.
ShahRukh Athar
semanticscholar   +1 more source

Data Portraits: Recording Foundation Model Training Data [PDF]

open access: yesNeural Information Processing Systems, 2023
Foundation models are trained on increasingly immense and opaque datasets. Even while these models are now key in AI system building, it can be difficult to answer the straightforward question: has the model already encountered a given example during ...
Marc Marone, Benjamin Van Durme
semanticscholar   +1 more source

Controllable Light Diffusion for Portraits [PDF]

open access: yesComputer Vision and Pattern Recognition, 2023
We introduce light diffusion, a novel method to improve lighting in portraits, softening harsh shadows and specular highlights while preserving overall scene illumi-nation.
David Futschik   +7 more
semanticscholar   +1 more source

Live speech portraits [PDF]

open access: yesACM Transactions on Graphics, 2021
To the best of our knowledge, we first present a live system that generates personalized photorealistic talking-head animation only driven by audio signals at over 30 fps. Our system contains three stages.
Yuanxun Lu, Jinxiang Chai, Xun Cao
semanticscholar   +1 more source

Wear Your Heart on Your Sleeve: Using Digital Knitting Machines to Craft Wearable Biodata Portraits

open access: yesConference on Designing Interactive Systems, 2023
Biofeedback sensors that measure body signals, such as heart rate, are often used for bodily awareness and behavioural change. In contrast, for this project, we wanted to use body sensor data as an artistic resource to craft wearable textile portraits as
L. Jones, Greta Grip, Sara Nabil
semanticscholar   +1 more source

Robust 3D Self-Portraits in Seconds [PDF]

open access: yesComputer Vision and Pattern Recognition, 2020
In this paper, we propose an efficient method for robust 3D self-portraits using a single RGBD camera. Benefiting from the proposed PIFusion and lightweight bundle adjustment algorithm, our method can generate detailed 3D self-portraits in seconds and ...
Zhe Li   +4 more
semanticscholar   +1 more source

Drozbot: Using Ergodic Control to Draw Portraits

open access: yesIEEE Robotics and Automation Letters, 2022
We present drozBot: le robot portraitiste, a robotic system that draws artistic portraits of people. The input images for the portrait are taken interactively by the robot itself.
Tobias Löw   +2 more
semanticscholar   +1 more source

Vulnerability as an Emotional Dimension in Student Teachers’ Narrative Identities Told With Self-Portraits

open access: yesScandinavian Journal of Educational Research, 2021
This article focuses on what student teachers tell about the emotional dimension of their identities with self-portraits. Narrative interviews with self-portraits were conducted with two student teachers in the final stages of their studies.
Anniina Holappa   +3 more
semanticscholar   +1 more source

Home - About - Disclaimer - Privacy