July 25, 2022, 1:13 a.m. | Fangneng Zhan, Yingchen Yu, Rongliang Wu, Jiahui Zhang, Kaiwen Cui, Aoran Xiao, Shijian Lu, Chunyan Miao

cs.CV updates on arXiv.org arxiv.org

Generative adversarial networks (GANs) have achieved great success in image
translation and manipulation. However, high-fidelity image generation with
faithful style control remains a grand challenge in computer vision. This paper
presents a versatile image translation and manipulation framework that achieves
accurate semantic and style guidance in image generation by explicitly building
a correspondence. To handle the quadratic complexity incurred by building the
dense correspondences, we introduce a bi-level feature alignment strategy that
adopts a top-$k$ operation to rank block-wise features …

alignment arxiv bi cv feature image translation

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US

Research Engineer

@ Allora Labs | Remote

Ecosystem Manager

@ Allora Labs | Remote

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US