Tarmily Wen — accepted AI-conference papers

2020

Learning Object Placement by Inpainting for Compositional Data Augmentation

Lingzhi Zhang, Tarmily Wen, Jie Min, Jiancong Wang, David Han, Jianbo Shi

ECCV 2020poster

We study the problem of common sense placement of visual objects in an image. This involves multiple aspects of visual recognition: the instance segmentation of the scene, 3D layout, and common knowledge of how objects are placed and where objects are moving in the 3D scene. This seemingly simple t…

Cited by 78 Source ↗PDF ↗Scholar ↗

2020

Nested Scale-Editing for Conditional Image Synthesis

Lingzhi Zhang, Jiancong Wang, Yinshuang Xu, Jie Min, Tarmily Wen, James C. Gee +1

CVPR 2020poster

We propose an image synthesis approach that provides stratified navigation in the latent code space. With a tiny amount of partial or very low-resolution image, our approach can consistently out-perform state-of-the-art counterparts in terms of generating the closest sampled image to the ground trut…

Cited by 7 PDF ↗Scholar ↗