no code implementations • 14 Dec 2023 • Ruoxi Shi, Xinyue Wei, Cheng Wang, Hao Su
We present ZeroRF, a novel per-scene optimization method addressing the challenge of sparse view 360{\deg} reconstruction in neural field representations.
no code implementations • 14 Nov 2023 • Minghua Liu, Ruoxi Shi, Linghao Chen, Zhuoyang Zhang, Chao Xu, Xinyue Wei, Hansheng Chen, Chong Zeng, Jiayuan Gu, Hao Su
Recent advancements in open-world 3D object generation have been remarkable, with image-to-3D methods offering superior fine-grained control over their text-to-3D counterparts.
1 code implementation • 23 Oct 2023 • Ruoxi Shi, Hansheng Chen, Zhuoyang Zhang, Minghua Liu, Chao Xu, Xinyue Wei, Linghao Chen, Chong Zeng, Hao Su
We report Zero123++, an image-conditioned diffusion model for generating 3D-consistent multi-view images from a single input view.
no code implementations • 26 May 2023 • Xinyue Wei, Fanbo Xiang, Sai Bi, Anpei Chen, Kalyan Sunkavalli, Zexiang Xu, Hao Su
We present a method for generating high-quality watertight manifold meshes from multi-view input images.
1 code implementation • 9 Feb 2023 • Jiayuan Gu, Fanbo Xiang, Xuanlin Li, Zhan Ling, Xiqiang Liu, Tongzhou Mu, Yihe Tang, Stone Tao, Xinyue Wei, Yunchao Yao, Xiaodi Yuan, Pengwei Xie, Zhiao Huang, Rui Chen, Hao Su
Generalizable manipulation skills, which can be composed to tackle long-horizon and complex daily chores, are one of the cornerstones of Embodied AI.
1 code implementation • 2 Feb 2023 • Anpei Chen, Zexiang Xu, Xinyue Wei, Siyu Tang, Hao Su, Andreas Geiger
Our experiments show that DiF leads to improvements in approximation quality, compactness, and training time when compared to previous fast reconstruction methods.
1 code implementation • 5 May 2022 • Xinyue Wei, Minghua Liu, Zhan Ling, Hao Su
Approximate convex decomposition aims to decompose a 3D shape into a set of almost convex components, whose convex hulls can then be used to represent the input shape.
no code implementations • 14 Oct 2021 • Xinyue Wei, Weichao Qiu, Yi Zhang, Zihao Xiao, Alan Yuille
Nuisance factors are those irrelevant to a task, and an ideal model should be invariant to them.
no code implementations • 16 Aug 2021 • Xinyue Wei, HaoZhi Huang, Yujin Shi, Hongliang Yuan, Li Shen, Jue Wang
We show in this work that Monte Carlo path tracing can be further accelerated by joint super-resolution and denoising (SRD) in post-processing.
no code implementations • 13 Dec 2019 • Jialing Lyu, Weichao Qiu, Xinyue Wei, Yi Zhang, Alan Yuille, Zheng-Jun Zha
This can explain why an activity classification model usually fails to generalize to datasets it is not trained on.
no code implementations • 3 Dec 2019 • Yi Zhang, Xinyue Wei, Weichao Qiu, Zihao Xiao, Gregory D. Hager, Alan Yuille
In this paper, we propose the Randomized Simulation as Augmentation (RSA) framework which augments real-world training data with synthetic data to improve the robustness of action recognition networks.