Diffusion Attack: Leveraging Stable Diffusion for Naturalistic Image Attacking

no code implementations • 21 Mar 2024 • Qianyu Guo, Jiaming Fu, Yawen Lu, Dongming Gan

In Virtual Reality (VR), adversarial attack remains a significant security threat.

Adversarial Attack Style Transfer

DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Vision

no code implementations • 26 Dec 2023 • Lu Ling, Yichen Sheng, Zhi Tu, Wentian Zhao, Cheng Xin, Kun Wan, Lantao Yu, Qianyu Guo, Zixun Yu, Yawen Lu, Xuanmao Li, Xingpeng Sun, Rohan Ashok, Aniruddha Mukherjee, Hao Kang, Xiangrui Kong, Gang Hua, Tianyi Zhang, Bedrich Benes, Aniket Bera

We have witnessed significant progress in deep learning-based 3D vision, ranging from neural radiance field (NeRF) based 3D representation learning to applications in novel view synthesis (NVS).

Novel View Synthesis Representation Learning

TransFlow: Transformer as Flow Learner

no code implementations • CVPR 2023 • Yawen Lu, Qifan Wang, Siqi Ma, Tong Geng, Yingjie Victor Chen, Huaijin Chen, Dongfang Liu

Optical flow is an indispensable building block for various important computer vision tasks, including motion estimation, object tracking, and disparity measurement.

Motion Estimation object-detection +4

Unsupervised Simultaneous Depth-from-defocus and Depth-from-focus

no code implementations • 1 Jan 2021 • Yawen Lu, Guoyu Lu

The proposed network is able to learn optimal depth mapping from the information contained in the blurring of a single image, generate a simulated image focal stack and all-in-focus image, and train a depth estimator from an image focal stack.

Depth Estimation