1 code implementation • 21 May 2024 • Hanwen Jiang, Arjun Karpur, Bingyi Cao, QiXing Huang, Andre Araujo
The image matching field has been witnessing a continuous emergence of novel learnable feature matching techniques, with ever-improving performance on conventional benchmarks.
no code implementations • 3 Apr 2024 • Yisheng He, Weihao Yuan, Siyu Zhu, Zilong Dong, Liefeng Bo, QiXing Huang
This paper enables high-fidelity, transferable NeRF editing by frequency decomposition.
no code implementations • 22 Mar 2024 • Zhengyi Zhao, Chen Song, Xiaodong Gu, Yuan Dong, Qi Zuo, Weihao Yuan, Zilong Dong, Liefeng Bo, QiXing Huang
In particular, the third and fourth stages are iterated, with the cuts obtained in the fourth stage encouraging non-rigid alignment in the third stage to focus on regions close to the cuts.
no code implementations • 18 Mar 2024 • Qi Zuo, Xiaodong Gu, Lingteng Qiu, Yuan Dong, Zhengyi Zhao, Weihao Yuan, Rui Peng, Siyu Zhu, Zilong Dong, Liefeng Bo, QiXing Huang
Images from video generative models are more suitable for multi-view generation because the underlying network architecture that generates them employs a temporal module to enforce frame consistency.
no code implementations • 9 Feb 2024 • Siming Yan, Min Bai, Weifeng Chen, Xiong Zhou, QiXing Huang, Li Erran Li
By combining natural language understanding, generation capabilities, and breadth of knowledge of large language models with image perception, recent large vision language models (LVLMs) have shown unprecedented visual reasoning capabilities.
1 code implementation • 28 Nov 2023 • Jiaxin Lu, Hao Kang, Haoxiang Li, Bo Liu, Yiding Yang, QiXing Huang, Gang Hua
Generation-based methods that generate grasping postures conditioned on the object can often produce diverse grasping, but they are insufficient for high grasping success due to lack of discriminative information.
no code implementations • 21 Nov 2023 • Bo Sun, QiXing Huang, Xiangru Huang
In the experiments, our method significantly outperform existing approaches in 3D semantic segmentation on several public benchmarks, such as Waymo Open Dataset, SemanticKITTI and ScanNetV2.
2 code implementations • 16 Oct 2023 • Seunggeun Chi, Hyung-gun Chi, QiXing Huang, Karthik Ramani
To overcome this barrier, we introduce InfoGCN++, an innovative extension of InfoGCN, explicitly developed for online skeleton-based action recognition.
1 code implementation • 2 Oct 2023 • Hanwen Jiang, Zhenyu Jiang, Yue Zhao, QiXing Huang
Are camera poses necessary for multi-view 3D modeling?
no code implementations • 19 Sep 2023 • Jordan Voas, Yili Wang, QiXing Huang, Raymond Mooney
Our findings indicate that none of the metrics currently used for this task show even a moderate correlation with human judgments on a sample level.
no code implementations • 8 Aug 2023 • Daiheng Gao, Xu Chen, Xindi Zhang, Qi Wang, Ke Sun, Bang Zhang, Liefeng Bo, QiXing Huang
Since traditional warping-based texture generation methods require a significant number of control points to be manually selected for each type of garment, which can be a time-consuming and tedious process.
no code implementations • 29 Jul 2023 • Alexander Y. Sun, Zhi Li, Wonhyun Lee, QiXing Huang, Bridget R. Scanlon, Clint Dawson
Flood inundation forecast provides critical information for emergency planning before and during flood events.
1 code implementation • 27 Jun 2023 • Xingyi He, Jiaming Sun, Yifan Wang, Sida Peng, QiXing Huang, Hujun Bao, Xiaowei Zhou
We propose a new detector-free SfM framework to draw benefits from the recent success of detector-free matchers to avoid the early determination of keypoints, while solving the multi-view inconsistency issue of detector-free matchers.
no code implementations • 5 Jun 2023 • Siming Yan, Chen Song, Youkang Kong, QiXing Huang
Different from the popular practice of predicting 2D features first and then obtaining 3D features through dimensionality lifting, our approach directly uses a 3D network for feature extraction.
1 code implementation • NeurIPS 2023 • Jiaxin Lu, Yifan Sun, QiXing Huang
Our framework consists of four components: (1) front-end point feature extractor with attention layers, (2) surface segmentation to separate fracture and original parts, (3) multi-parts matching to find correspondences among fracture surface points, and (4) robust global alignment to recover the global poses of the pieces.
1 code implementation • 20 Apr 2023 • Haitao Yang, Xiangru Huang, Bo Sun, Chandrajit Bajaj, QiXing Huang
GenCorres addresses this issue by learning an implicit generator from the input shapes, which provides intermediate shapes between two arbitrary shapes.
no code implementations • 14 Apr 2023 • Siming Yan, YuQi Yang, YuXiao Guo, Hao Pan, Peng-Shuai Wang, Xin Tong, Yang Liu, QiXing Huang
Masked autoencoders (MAE) have recently been introduced to 3D self-supervised pretraining for point clouds due to their great success in NLP and computer vision.
1 code implementation • 4 Apr 2023 • Haitao Yang, Zaiwei Zhang, Xiangru Huang, Min Bai, Chen Song, Bo Sun, Li Erran Li, QiXing Huang
Bird's-Eye View (BEV) features are popular intermediate scene representations shared by the 3D backbone and the detector head in LiDAR-based object detectors.
1 code implementation • 15 Mar 2023 • Chen Song, Chandrajit Bajaj, QiXing Huang
We additionally show that our approach easily extends to video super-resolution when combined with recent advances in implicit neural representation.
no code implementations • CVPR 2023 • Yifan Sun, QiXing Huang
The first step performs diffusion and clustering to compute the candidate poses of the input objects.
no code implementations • 6 Oct 2022 • Yan Zheng, Lemeng Wu, Xingchao Liu, Zhen Chen, Qiang Liu, QiXing Huang
We first propose a diffusion-based generative model to tackle this problem by generating voxelized shapes with close-to-reality outlines and structures.
1 code implementation • 24 Jul 2022 • Bo Sun, Vladimir G. Kim, Noam Aigerman, QiXing Huang, Siddhartha Chaudhuri
Our key insight is to copy and deform patches from the partial input to complete missing regions.
1 code implementation • 24 Jun 2022 • Zhenpei Yang, Zaiwei Zhang, QiXing Huang
Reconstructing 3D objects is an important computer vision task that has wide application in AR/VR.
1 code implementation • CVPR 2022 • Zhenpei Yang, Zhile Ren, Miguel Angel Bautista, Zaiwei Zhang, Qi Shan, QiXing Huang
In this paper, we present FvOR, a learning-based object reconstruction method that predicts accurate 3D models given a few images with noisy input poses.
1 code implementation • CVPR 2022 • Chen Song, QiXing Huang, Chandrajit Bajaj
A camera begins to sense light the moment we press the shutter button.
1 code implementation • ICCV 2023 • Siming Yan, Zhenpei Yang, Haoxiang Li, Chen Song, Li Guan, Hao Kang, Gang Hua, QiXing Huang
The most popular and accessible 3D representation, i. e., point clouds, involves discrete samples of the underlying continuous 3D surface.
Ranked #5 on 3D Point Cloud Linear Classification on ModelNet40 (using extra training data)
3D Point Cloud Classification 3D Point Cloud Linear Classification +4
1 code implementation • CVPR 2022 • Hyung-gun Chi, Myoung Hoon Ha, Seunggeun Chi, Sang Wan Lee, QiXing Huang, Karthik Ramani
Human skeleton-based action recognition offers a valuable means to understand the intricacies of human behavior because it can handle the complex relationships between physical constraints and intention.
Ranked #8 on Skeleton Based Action Recognition on N-UCLA
1 code implementation • ICCV 2021 • Haitao Yang, Zaiwei Zhang, Siming Yan, Haibin Huang, Chongyang Ma, Yi Zheng, Chandrajit Bajaj, QiXing Huang
This task is challenging because 3D scenes exhibit diverse patterns, ranging from continuous ones, such as object sizes and the relative poses between pairs of shapes, to discrete patterns, such as occurrence and co-occurrence of objects with symmetrical relationships.
1 code implementation • ICCV 2021 • QiXing Huang, Xiangru Huang, Bo Sun, Zaiwei Zhang, Junfeng Jiang, Chandrajit Bajaj
Our approach builds on an approximation of the as-rigid-as possible (or ARAP) deformation energy.
no code implementations • CVPR 2021 • Yifan Sun, QiXing Huang, Dun-Yu Hsiao, Li Guan, Gang Hua
Efficient 3D space sampling to represent an underlying3D object/scene is essential for 3D vision, robotics, and be-yond.
no code implementations • CVPR 2021 • Zhenpei Yang, Li Erran Li, QiXing Huang
Monocular 3D prediction is one of the fundamental problems in 3D vision.
1 code implementation • 24 May 2021 • Yunke Zhang, Chi Wang, Miaomiao Cui, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Hujun Bao, QiXing Huang, Weiwei Xu
Experimental results show that our method can generate high-quality alpha mattes for various videos featuring appearance change, occlusion, and fast motion.
1 code implementation • ICCV 2021 • Siming Yan, Zhenpei Yang, Chongyang Ma, Haibin Huang, Etienne Vouga, QiXing Huang
This paper introduces HPNet, a novel deep-learning approach for segmenting a 3D shape represented as a point cloud into primitive patches.
1 code implementation • CVPR 2022 • Zhenpei Yang, Zhile Ren, Qi Shan, QiXing Huang
Deep learning has made significant impacts on multi-view stereo systems.
no code implementations • NeurIPS 2020 • Xiangru Huang, Haitao Yang, Etienne Vouga, QiXing Huang
We introduce an approach for establishing dense correspondences between partial scans of human models and a complete template model.
1 code implementation • ACM Transactions on Graphics 2015 • Qixing Huang, Hai Wang, Vladlen Koltun
We present an approach to automatic 3D reconstruction of objects depicted in Web images.
no code implementations • 19 May 2014 • Qixing Huang, Yuxin Chen, Leonidas Guibas
Maximum a posteriori (MAP) inference over discrete Markov random fields is a fundamental task spanning a wide spectrum of real-world applications, which is known to be NP-hard for general graphs.