Results 31 to 40 of about 7,762 (182)
Contextual Feature Constrained Semantic Face Completion With Paired Discriminator
Image semantic completion is to employ remaining image information to restore the damaged or missing areas. Face completion task is usually more challenging than other image inpainting problems as it requires stronger semantic consistency.
Xiuhong Yang +3 more
doaj +1 more source
r-BTN: Cross-domain Face Composite and Synthesis from Limited Facial Patches
We start by asking an interesting yet challenging question, "If an eyewitness can only recall the eye features of the suspect, such that the forensic artist can only produce a sketch of the eyes (e.g., the top-left sketch shown in Fig.
Qi, Hairong, Song, Yang, Zhang, Zhifei
core +1 more source
In this paper, we propose an effective face completion algorithm using a deep generative model. Different from well-studied background completion, the face completion task is more challenging as it often requires to generate semantically new pixels for ...
Li, Yijun +3 more
core +1 more source
Deep Depth Completion of a Single RGB-D Image
The goal of our work is to complete the depth channel of an RGB-D image. Commodity-grade depth cameras often fail to sense depth for shiny, bright, transparent, and distant surfaces.
Funkhouser, Thomas, Zhang, Yinda
core +1 more source
Learning quadrangulated patches for 3D shape parameterization and completion
We propose a novel 3D shape parameterization by surface patches, that are oriented by 3D mesh quadrangulation of the shape. By encoding 3D surface detail on local patches, we learn a patch dictionary that identifies principal surface features of the ...
Sarkar, Kripasindhu +2 more
core +1 more source
Semantic SLAM integrates semantic networks into SLAM systems to ensure the proper functioning of mobile robots by detecting and removing dynamic areas in the environment.
Yuan Luo, Zherui Rao, Ruosai Wu
doaj +1 more source
Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen +4 more
wiley +1 more source
The Missing Data Encoder: Cross-Channel Image Completion\\with Hide-And-Seek Adversarial Network
Image completion is the problem of generating whole images from fragments only. It encompasses inpainting (generating a patch given its surrounding), reverse inpainting/extrapolation (generating the periphery given the central patch) as well as ...
Cord, Matthieu +2 more
core +1 more source
LaFIn: Generative Landmark Guided Face Inpainting
It is challenging to inpaint face images in the wild, due to the large variation of appearance, such as different poses, expressions and occlusions. A good inpainting algorithm should guarantee the realism of output, including the topological structure among eyes, nose and mouth, as well as the attribute consistency on pose, gender, ethnicity ...
Yang Yang 0062 +4 more
openaire +2 more sources
This study investigates the integration of synthetic imagery, created with diffusion‐based models, to supplement limited training data and improve muskox (Ovibos moschatus) detection in zero‐shot (ZS) and few‐shot (FS) settings. ZS models detected more than 80% of muskoxen in real images, confirming the potential of synthetic data as a substitute for ...
Simon Durand +4 more
wiley +1 more source

