M${^2}$Depth: Self-supervised Two-Frame Multi-camera Metric Depth Estimation

no code implementations • 3 May 2024 • Yingshuang Zou, Yikang Ding, Xi Qiu, Haoqian Wang, Haotian Zhang

This paper presents a novel self-supervised two-frame multi-camera metric depth estimation network, termed M${^2}$Depth, which is designed to predict reliable scale-aware surrounding depth in autonomous driving.

Autonomous Driving Depth Estimation

3D Face Arbitrary Style Transfer

no code implementations • 14 Mar 2023 • Xiangwen Deng, Yingshuang Zou, Yuanhao Cai, Chendong Zhao, Yang Liu, Zhifang Liu, Yuxiao Liu, Jiawei Zhou, Haoqian Wang

To solve this problem, we propose a novel method, namely Face-guided Dual Style Transfer (FDST).

Face Reconstruction Style Transfer