no code implementations • 17 Mar 2024 • Zhihao Liang, Qi Zhang, WenBo Hu, Ying Feng, Lei Zhu, Kui Jia
This is because 3DGS treats each pixel as an isolated, single point rather than as an area, causing insensitivity to changes in the footprints of pixels.
no code implementations • 31 Jan 2024 • Xiaoyu Li, Qi Zhang, Di Kang, Weihao Cheng, Yiming Gao, Jingbo Zhang, Zhihao Liang, Jing Liao, Yan-Pei Cao, Ying Shan
In this survey, we aim to introduce the fundamental methodologies of 3D generation methods and establish a structured roadmap, encompassing 3D representation, generation methods, datasets, and corresponding applications.
no code implementations • 8 Jan 2024 • Zhangjin Huang, Zhihao Liang, Haojie Zhang, Yangkai Lin, Kui Jia
Technically, we learn two parallel streams of an implicit signed distance field and an explicit surrogate surface Sur2f mesh, and unify volume rendering of the implicit signed distance function (SDF) and surface rendering of the surrogate mesh with a shared, neural shader; the unified shading promotes their convergence to the same, underlying surface.
1 code implementation • 26 Nov 2023 • Zhihao Liang, Qi Zhang, Ying Feng, Ying Shan, Kui Jia
We propose GS-IR, a novel inverse rendering approach based on 3D Gaussian Splatting (GS) that leverages forward mapping volume rendering to achieve photorealistic novel view synthesis and relighting results.
1 code implementation • CVPR 2023 • Zhihao Liang, Zhangjin Huang, Changxing Ding, Kui Jia
Recovery of an underlying scene geometry from multiview images stands as a long-time challenge in computer vision research.
no code implementations • 16 May 2022 • Zhihao Liang, Xun Xu, Shengheng Deng, Lile Cai, Tao Jiang, Kui Jia
3D object detection has recently received much attention due to its great potential in autonomous vehicle (AV).
1 code implementation • CVPR 2022 • Shengheng Deng, Zhihao Liang, Lin Sun, Kui Jia
These multi-view methods either refine the proposals predicted from single view via fused features, or fuse the features without considering the global spatial context; their performance is limited consequently.
1 code implementation • ICCV 2021 • Zhihao Liang, Zhihao LI, Songcen Xu, Mingkui Tan, Kui Jia
State-of-the-art methods largely rely on a general pipeline that first learns point-wise features discriminative at semantic and instance levels, followed by a separate step of point grouping for proposing object instances.
Ranked #9 on 3D Instance Segmentation on S3DIS
no code implementations • ACL 2020 • Ruichu Cai, Zhihao Liang, Boyan Xu, Zijian Li, Yuexing Hao, Yao Chen
Existing leading code comment generation approaches with the structure-to-sequence framework ignores the type information of the interpretation of the code, e. g., operator, string, etc.
no code implementations • CVPR 2020 • Zhibo Fan, Jin-Gang Yu, Zhihao Liang, Jiarong Ou, Changxin Gao, Gui-Song Xia, Yuanqing Li
Few-shot instance segmentation (FSIS) conjoins the few-shot learning paradigm with general instance segmentation, which provides a possible way of tackling instance segmentation in the lack of abundant labeled data for training.
no code implementations • 16 Nov 2017 • Ruichu Cai, Boyan Xu, Xiaoyan Yang, Zhenjie Zhang, Zijian Li, Zhihao Liang
These techniques help the neural network better focus on understanding semantics of operations in natural language and save the efforts on SQL grammar learning.