1 code implementation • 25 Aug 2023 • Zhipeng Hu, Minda Zhao, Chaoyi Zhao, Xinyue Liang, Lincheng Li, Zeng Zhao, Changjie Fan, Xiaowei Zhou, Xin Yu
This limitation leads to the Janus problem, where multi-faced 3D models are generated under the guidance of such diffusion models.
1 code implementation • 6 Aug 2023 • Haowei Wang, Jiji Tang, Jiayi Ji, Xiaoshuai Sun, Rongsheng Zhang, Yiwei Ma, Minda Zhao, Lincheng Li, Zeng Zhao, Tangjie Lv, Rongrong Ji
Insufficient synergy neglects the idea that a robust 3D representation should align with the joint vision-language space, rather than independently aligning with each modality.
no code implementations • CVPR 2023 • Yongqiang Zhang, Zhipeng Hu, Haoqian Wu, Minda Zhao, Lincheng Li, Zhengxia Zou, Changjie Fan
In this paper, we argue that this limited accuracy is due to the bias of their volume rendering strategies, especially when the viewing direction is close to be tangent to the surface.
no code implementations • 28 Nov 2022 • Minda Zhao, Zehua Lai, Lek-Heng Lim
Is it possible for a first-order method, i. e., only first derivatives allowed, to be quadratically convergent?
no code implementations • 14 Jun 2020 • Minda Zhao, Qiang Ling
Moreover, foreground and background feature trajectories are no longer distinguished and both contribute to the estimation of the camera motion in the proposed optimization problem, which yields better estimation performance than previous works, particularly in challenging videos with large foreground objects or strong parallax.