no code implementations • 1 Apr 2024 • Armand Comas-Massagué, Di Qiu, Menglei Chai, Marcel Bühler, Amit Raj, Ruiqi Gao, Qiangeng Xu, Mark Matthews, Paulo Gotardo, Octavia Camps, Sergio Orts-Escolano, Thabo Beeler
We introduce a novel framework for 3D human avatar generation and personalization, leveraging text prompts to enhance user engagement and customization.
no code implementations • 19 Mar 2024 • Quankai Gao, Qiangeng Xu, Zhe Cao, Ben Mildenhall, Wenchao Ma, Le Chen, Danhang Tang, Ulrich Neumann
While the optimization can draw photometric reference from the input videos or be regulated by generative models, directly supervising Gaussian motions remains underexplored.
no code implementations • 19 Feb 2024 • Zhixuan Yu, Ziqian Bai, Abhimitra Meka, Feitong Tan, Qiangeng Xu, Rohit Pandey, Sean Fanello, Hyun Soo Park, yinda zhang
Traditional methods for constructing high-quality, personalized head avatars from monocular videos demand extensive face captures and training time, posing a significant challenge for scalability.
no code implementations • 8 Dec 2023 • Zhen Wang, Qiangeng Xu, Feitong Tan, Menglei Chai, Shichen Liu, Rohit Pandey, Sean Fanello, Achuta Kadambi, yinda zhang
State-of-the-art results from extensive experiments demonstrate MVDD's excellent ability in 3D shape generation, depth completion, and its potential as a 3D prior for downstream tasks.
no code implementations • 5 Dec 2023 • Yushi Lan, Feitong Tan, Di Qiu, Qiangeng Xu, Kyle Genova, Zeng Huang, Sean Fanello, Rohit Pandey, Thomas Funkhouser, Chen Change Loy, yinda zhang
We present a novel framework for generating photorealistic 3D human head and subsequently manipulating and reposing them with remarkable flexibility.
1 code implementation • ICCV 2023 • Quankai Gao, Qiangeng Xu, Hao Su, Ulrich Neumann, Zexiang Xu
In contrast to TensoRF which uses a global tensor and focuses on their vector-matrix decomposition, we propose to utilize a cloud of local tensors and apply the classic CANDECOMP/PARAFAC (CP) decomposition to factorize each tensor into triple vectors that express local feature distributions along spatial axes and compactly encode a local neural field.
1 code implementation • CVPR 2022 • Qiangeng Xu, Zexiang Xu, Julien Philip, Sai Bi, Zhixin Shu, Kalyan Sunkavalli, Ulrich Neumann
Point-NeRF combines the advantages of these two approaches by using neural 3D point clouds, with associated neural features, to model a radiance field.
2 code implementations • 4 Dec 2021 • Qiangeng Xu, Yiqi Zhong, Ulrich Neumann
Finally, the probability of occupancy is also integrated into a proposal refinement module to generate the final bounding boxes.
Ranked #2 on 3D Object Detection on KITTI Cars Moderate
4 code implementations • 19 Oct 2021 • Cho-Ying Wu, Qiangeng Xu, Ulrich Neumann
Our synergy process leverages a representation cycle for 3DMM parameters and 3D landmarks.
Ranked #1 on Face Alignment on AFLW
no code implementations • ICCV 2021 • Qiangeng Xu, Yin Zhou, Weiyue Wang, Charles R. Qi, Dragomir Anguelov
On the Waymo Open Dataset and KITTI, SPG improves 3D detection results of these two methods across all categories.
Ranked #5 on 3D Object Detection on KITTI Cars Moderate
1 code implementation • 16 Apr 2021 • Cho-Ying Wu, Qiangeng Xu, Ulrich Neumann
This work focuses on complete 3D facial geometry prediction, including 3D facial alignment via 3D face modeling and face orientation estimation using the proposed multi-task, multi-modal, and multi-representation landmark refinement network (M$^3$-LRN).
1 code implementation • 14 Jun 2020 • Cho-Ying Wu, Xiaoyan Hu, Michael Happold, Qiangeng Xu, Ulrich Neumann
Mask regression is based on 2D, 2. 5D, and 3D ROI using the pseudo-lidar and image-based representations.
Ranked #16 on Instance Segmentation on Cityscapes val (using extra training data)
1 code implementation • CVPR 2020 • Qiangeng Xu, Xudong Sun, Cho-Ying Wu, Panqu Wang, Ulrich Neumann
Compared with popular sampling methods such as Farthest Point Sampling (FPS) and Ball Query, CAGQ achieves up to 50X speed-up.
3 code implementations • NeurIPS 2019 • Qiangeng Xu, Weiyue Wang, Duygu Ceylan, Radomir Mech, Ulrich Neumann
Reconstructing 3D shapes from single-view images has been a long-standing research problem.
Ranked #1 on Single-View 3D Reconstruction on ShapeNetCore
no code implementations • 1 Sep 2018 • Qiangeng Xu, Hanwang Zhang, Weiyue Wang, Peter N. Belhumeur, Ulrich Neumann
In this paper, we introduce a stochastic dynamics video infilling (SDVI) framework to generate frames between long intervals in a video.
1 code implementation • 27 Dec 2017 • Qiangeng Xu, John Kender
In the research of the impact of gestures using by a lecturer, one challenging task is to infer the attention of a group of audiences.
no code implementations • 8 May 2017 • Qiangeng Xu, Zengchang Qin, Tao Wan
In this paper, we explore a generative model for the task of generating unseen images with desired features.