40 citations · 111 across the 24 of their papers we have counts for
24 papers
IMPRINT: Generative Object Compositing by Learning Identity-Preserving Representation
Yizhi Song, Zhifei Zhang, Zhe Lin +7
Generative object compositing emerges as a promising new avenue for compositional image editing. However, the requirement of object identity preservation poses a significant challe…
Perceptual Artifacts Localization for Image Synthesis Tasks
Lingzhi Zhang, Zhengjie Xu, Connelly Barnes +7
Recent advancements in deep generative models have facilitated the creation of photo-realistic images across various tasks. However, these generated images often exhibit perceptual…
MARS: Exploiting Multi-Level Parallelism for DNN Workloads on Adaptive Multi-Accelerator Systems
Guan Shen, Jieru Zhao, Zeke Wang +5
Along with the fast evolution of deep neural networks, the hardware system is also developing rapidly. As a promising solution achieving high scalability and low manufacturing cost…
AIMS: All-Inclusive Multi-Level Segmentation
Lu Qi, Jason Kuen, Weidong Guo +5
Despite the progress of image segmentation for accurate visual entity segmentation, completing the diverse requirements of image editing applications for different-level region-of-…
SimpSON: Simplifying Photo Cleanup with Single-Click Distracting Object Segmentation Network
Chuong Huynh, Yuqian Zhou, Zhe Lin +4
In photo editing, it is common practice to remove visual distractions to improve the overall image quality and highlight the primary subject. However, manually selecting and removi…
XFormer: Fast and Accurate Monocular 3D Body Capture
Lihui Qian, Xintong Han, Faqiang Wang +6
We present XFormer, a novel human mesh and motion capture method that achieves real-time performance on consumer CPUs given only monocular images as input. The proposed network arc…