no code implementations • 26 Mar 2024 • Ganlong Zhao, Guanbin Li, Weikai Chen, Yizhou Yu
Recent advances in Iterative Vision-and-Language Navigation (IVLN) introduce a more meaningful and practical paradigm of VLN by maintaining the agent's memory across tours of scenes.
1 code implementation • CVPR 2023 • Duojun Huang, Jichang Li, Weikai Chen, Junshi Huang, Zhenhua Chai, Guanbin Li
To accommodate active learning and domain adaption, the two naturally different tasks, in a collaborative framework, we advocate that a customized learning strategy for the target data is the key to the success of ADA solutions.
no code implementations • CVPR 2023 • Yu-Tao Liu, Li Wang, Jie Yang, Weikai Chen, Xiaoxu Meng, Bo Yang, Lin Gao
Multi-view shape reconstruction has achieved impressive progresses thanks to the latest advances in neural implicit surface rendering.
no code implementations • CVPR 2023 • Xiangyu Zhu, Dong Du, Weikai Chen, Zhiyou Zhao, Yinyu Nie, Xiaoguang Han
We show that a simple network based on NerVE can already outperform the previous state-of-the-art methods by a great margin.
1 code implementation • CVPR 2023 • Xiaoxu Meng, Weikai Chen, Bo Yang
In particular, NeAT represents the 3D surface as a level set of a signed distance function (SDF) with a validity branch for estimating the surface existence probability at the query positions.
no code implementations • ICCV 2023 • Zhangyang Xiong, Di Kang, Derong Jin, Weikai Chen, Linchao Bao, Shuguang Cui, Xiaoguang Han
Specifically, we bridge the latent space of Get3DHuman with that of StyleGAN-Human via a specially-designed prior network, where the input latent code is mapped to the shape and texture feature volumes spanned by the pixel-aligned 3D reconstructor.
no code implementations • ICCV 2023 • Ziyi Zhang, Weikai Chen, Chaowei Fang, Zhen Li, Lechao Chen, Liang Lin, Guanbin Li
Confidence-wise, we propose a novel sample selection strategy based on confidence representation voting instead of the widely-used small-loss criterion.
2 code implementations • 12 Nov 2022 • Ziyi Zhang, Weikai Chen, Hui Cheng, Zhen Li, Siyuan Li, Liang Lin, Guanbin Li
We investigate a practical domain adaptation task, called source-free domain adaptation (SFUDA), where the source-pretrained model is adapted to the target domain without access to the source data.
Ranked #4 on Source-Free Domain Adaptation on VisDA-2017
no code implementations • CVPR 2022 • Weikai Chen, Cheng Lin, Weiyang Li, Bo Yang
The key to our method is the introduction of a new sign, the NULL sign, in addition to the conventional in and out labels.
1 code implementation • CVPR 2022 • Xiaoqian Xu, Pengxu Wei, Weikai Chen, Mingzhi Mao, Liang Lin, Guanbin Li
To address this issue, we propose an unsupervised domain adaptation mechanism for real-world SR, named Dual ADversarial Adaptation (DADA), which only requires LR images in the target domain with available real paired data from a source camera.
no code implementations • CVPR 2022 • Haiwei Chen, Jiayi Liu, Weikai Chen, Shichen Liu, Yajie Zhao
In this paper, we propose an exemplar-based visual pattern synthesis framework that aims to model the inner statistics of visual patterns and generate new, versatile patterns that meet the aforementioned requirements.
no code implementations • NeurIPS 2021 • Jia-Heng Tang, Weikai Chen, Jie Yang, Bo wang, Songrun Liu, Bo Yang, Lin Gao
We achieve this goal by introducing a hierarchical octree structure to adaptively subdivide the 3D space according to the surface occupancy and the richness of part geometry.
no code implementations • ICCV 2021 • Junkai Huang, Chaowei Fang, Weikai Chen, Zhenhua Chai, Xiaolin Wei, Pengxu Wei, Liang Lin, Guanbin Li
Open-set semi-supervised learning (open-set SSL) investigates a challenging but practical scenario where out-of-distribution (OOD) samples are contained in the unlabeled data.
1 code implementation • CVPR 2021 • Haiwei Chen, Shichen Liu, Weikai Chen, Hao Li
Features that are equivariant to a larger group of symmetries have been shown to be more discriminative and powerful in recent studies.
no code implementations • CVPR 2021 • Yuda Qiu, Xiaojie Xu, Lingteng Qiu, Yan Pan, Yushuang Wu, Weikai Chen, Xiaoguang Han
Caricature is an artistic representation that deliberately exaggerates the distinctive features of a human face to convey humor or sarcasm.
no code implementations • CVPR 2021 • Mingyue Yang, Yuxin Wen, Weikai Chen, Yongwei Chen, Kui Jia
Many learning-based approaches have difficulty scaling to unseen data, as the generality of its learned prior is limited to the scale and variations of the training samples.
1 code implementation • CVPR 2020 • Kyle Olszewski, Duygu Ceylan, Jun Xing, Jose Echevarria, Zhili Chen, Weikai Chen, Hao Li
We present an interactive approach to synthesizing realistic variations in facial hair in images, ranging from subtle edits to existing hair to the addition of complex and challenging hair in images of clean-shaven subjects.
2 code implementations • ECCV 2020 • Heming Zhu, Yu Cao, Hang Jin, Weikai Chen, Dong Du, Zhangye Wang, Shuguang Cui, Xiaoguang Han
High-fidelity clothing reconstruction is the key to achieving photorealism in a wide range of applications including human digitization, virtual try-on, etc.
no code implementations • NeurIPS 2019 • Shichen Liu, Shunsuke Saito, Weikai Chen, Hao Li
The representation of 3D surfaces itself is a key factor for the quality and resolution of the 3D output.
no code implementations • ICCV 2019 • Junyi Pan, Xiaoguang Han, Weikai Chen, Jiapeng Tang, Kui Jia
The key to our approach is a novel progressive shaping framework that alternates between mesh deformation and topology modification.
Ranked #3 on 3D Shape Reconstruction on Pix3D
no code implementations • ICCV 2019 • Yajie Zhao, Zeng Huang, Tianye Li, Weikai Chen, Chloe LeGendre, Xinglei Ren, Jun Xing, Ari Shapiro, Hao Li
In contrast to the previous state-of-the-art approach, our method handles even portraits with extreme perspective distortion, as we avoid the inaccurate and error-prone step of first fitting a 3D face model.
2 code implementations • ICCV 2019 • Shichen Liu, Tianye Li, Weikai Chen, Hao Li
Rendering bridges the gap between 2D vision and 3D scenes by simulating the physical process of image formation.
Ranked #1 on 3D Object Reconstruction on ShapeNet
no code implementations • 17 Jan 2019 • Shichen Liu, Weikai Chen, Tianye Li, Hao Li
We also show that our soft rasterizer can achieve comparable results to the cutting-edge supervised learning method and in various cases even better ones, especially for real-world data.
1 code implementation • CVPR 2019 • Ryota Natsume, Shunsuke Saito, Zeng Huang, Weikai Chen, Chongyang Ma, Hao Li, Shigeo Morishima
The synthesized silhouettes which are the most consistent with the input segmentation are fed into a deep visual hull algorithm for robust 3D shape prediction.
no code implementations • 11 Dec 2018 • Weikai Chen, Xiaoguang Han, Guanbin Li, Chao Chen, Jun Xing, Yajie Zhao, Hao Li
Three-dimensional object recognition has recently achieved great progress thanks to the development of effective point cloud-based learning frameworks, such as PointNet and its extensions.
no code implementations • ECCV 2018 • Zeng Huang, Tianye Li, Weikai Chen, Yajie Zhao, Jun Xing, Chloe LeGendre, Linjie Luo, Chongyang Ma, Hao Li
We present a deep learning-based volumetric capture approach for performance capture using a passive and highly sparse multi-view capture system.
no code implementations • 23 Jul 2018 • Yajie Zhao, Weikai Chen, Jun Xing, Xiaoming Li, Zach Bessinger, Fuchang Liu, WangMeng Zuo, Ruigang Yang
Different from the state-of-the-art face inpainting methods that have no control over the synthesized content and can only handle frontal face pose, our approach can faithfully recover the missing content under various head poses while preserving the identity.
no code implementations • CVPR 2018 • Loc Huynh, Weikai Chen, Shunsuke Saito, Jun Xing, Koki Nagano, Andrew Jones, Paul Debevec, Hao Li
We present a learning-based approach for synthesizing facial geometry at medium and fine scales from diffusely-lit facial texture maps.