Multistage Adversarial Losses for Pose-Based Human Image Synthesis

2018 ◽  
Author(s):  
Chenyang Si ◽  
Wei Wang ◽  
Liang Wang ◽  
Tieniu Tan
Keyword(s):  
Image Synthesis ◽  
Human Image

Pose-Guided Human Image Synthesis Based on Fusion Feature Feedback Mechanism

2020 ◽  
Vol 57 (14) ◽  
pp. 141011
Author(s):  
黄友文 Huang Youwen ◽  
赵朋 Zhao Peng ◽  
游亚东 You Yadong
Keyword(s):  
Image Synthesis ◽  
Feedback Mechanism ◽  
Human Image ◽  
Feature Feedback ◽  
Fusion Feature

scholarly journals Human Synthesis and Scene Compositing

2020 ◽  
Vol 34 (07) ◽  
pp. 12749-12756 ◽  
Author(s):  
Mihai Zanfir ◽  
Elisabeta Oneata ◽  
Alin-Ionut Popa ◽  
Andrei Zanfir ◽  
Cristian Sminchisescu
Keyword(s):  
State Of The Art ◽  
Image Synthesis ◽  
Parametric Representation ◽  
Special Effects ◽  
Qualitative And Quantitative ◽  
Quantitative Results ◽  
Visual Artifacts ◽  
Photo Editing ◽  
Human Image ◽  
3D Scene

Generating good quality and geometrically plausible synthetic images of humans with the ability to control appearance, pose and shape parameters, has become increasingly important for a variety of tasks ranging from photo editing, fashion virtual try-on, to special effects and image compression. In this paper, we propose a HUSC (HUman Synthesis and Scene Compositing) framework for the realistic synthesis of humans with different appearance, in novel poses and scenes. Central to our formulation is 3d reasoning for both people and scenes, in order to produce realistic collages, by correctly modeling perspective effects and occlusion, by taking into account scene semantics and by adequately handling relative scales. Conceptually our framework consists of three components: (1) a human image synthesis model with controllable pose and appearance, based on a parametric representation, (2) a person insertion procedure that leverages the geometry and semantics of the 3d scene, and (3) an appearance compositing process to create a seamless blending between the colors of the scene and the generated human image, and avoid visual artifacts. The performance of our framework is supported by both qualitative and quantitative results, in particular state-of-the art synthesis scores for the DeepFashion dataset.

Focus and retain: Complement the Broken Pose in Human Image Synthesis

2021 ◽  
Author(s):  
Pu Ge ◽  
Qiushi Huang ◽  
Wei Xiang ◽  
Xue Jing ◽  
Yule Li ◽  
...  
Keyword(s):  
Image Synthesis ◽  
Human Image

Image Synthesis by combining the Wavelets and Inverse Approaches

1999 ◽  
Vol 19 (Supplement1) ◽  
pp. 87-90
Author(s):  
D. SEKIJIMA ◽  
S. HAYANO ◽  
Y. SAITO ◽  
T.L. KUNII
Keyword(s):  
Image Synthesis

scholarly journals Resolved spectral variations of the centimetre-wavelength continuum from the ρ Oph W photo-dissociation-region

2021 ◽  
Author(s):  
Simon Casassus ◽  
Matías Vidal ◽  
Carla Arce-Tord ◽  
Clive Dickinson ◽  
Glenn J White ◽  
...  
Keyword(s):  
Molecular Cloud ◽  
Dust Emission ◽  
Image Synthesis ◽  
Microwave Emission ◽  
Radio Continuum ◽  
Continuum Emission ◽  
Parametric Image ◽  
Physical Conditions ◽  
Morphological Differences ◽  
Dust Grain

Abstract Cm-wavelength radio continuum emission in excess of free-free, synchrotron and Rayleigh-Jeans dust emission (excess microwave emission, EME), and often called ‘anomalous microwave emission’, is bright in molecular cloud regions exposed to UV radiation, i.e. in photo-dissociation regions (PDRs). The EME correlates with IR dust emission on degree angular scales. Resolved observations of well-studied PDRs are needed to compare the spectral variations of the cm-continuum with tracers of physical conditions and of the dust grain population. The EME is particularly bright in the regions of the ρ Ophiuchi molecular cloud (ρ Oph) that surround the earliest type star in the complex, HD 147889, where the peak signal stems from the filament known as the ρ Oph-W PDR. Here we report on ATCA observations of ρ Oph-W that resolve the width of the filament. We recover extended emission using a variant of non-parametric image synthesis performed in the sky plane. The multi-frequency 17 GHz to 39 GHz mosaics reveal spectral variations in the cm-wavelength continuum. At ∼30 arcsec resolutions, the 17-20 GHz intensities follow tightly the mid-IR, Icm∝I(8 μm), despite the breakdown of this correlation on larger scales. However, while the 33-39 GHz filament is parallel to IRAC 8 μm, it is offset by 15–20 arcsec towards the UV source. Such morphological differences in frequency reflect spectral variations, which we quantify spectroscopically as a sharp and steepening high-frequency cutoff, interpreted in terms of the spinning dust emission mechanism as a minimum grain size acutoff ∼ 6 ± 1 Å that increases deeper into the PDR.

scholarly journals Visual Thinking of Neural Networks: Interactive Text to Image Synthesis

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Hyunhee Lee ◽  
Gyeongmin Kim ◽  
Yuna Hur ◽  
Heuiseok Lim
Keyword(s):  
Neural Networks ◽  
Image Synthesis ◽  
Visual Thinking ◽  
Interactive Text
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