Search Results for author: Shiwei Li

Found 22 papers, 10 papers with code

Direct2.5: Diverse Text-to-3D Generation via Multi-view 2.5D Diffusion

no code implementations CVPR 2024 Yuanxun Lu, Jingyang Zhang, Shiwei Li, Tian Fang, David McKinnon, Yanghai Tsin, Long Quan, Xun Cao, Yao Yao

The multi-view 2. 5D diffusion directly models the structural distribution of 3D data, while still maintaining the strong generalization ability of the original 2D diffusion model, filling the gap between 2D diffusion-based and direct 3D diffusion-based methods for 3D content generation.

3D Generation Text to 3D

DSD-DA: Distillation-based Source Debiasing for Domain Adaptive Object Detection

no code implementations17 Nov 2023 Yongchao Feng, Shiwei Li, Yingjie Gao, Ziyue Huang, Yanan Zhang, Qingjie Liu, Yunhong Wang

Furthermore, these methods face a more formidable challenge in achieving consistent classification and localization in the target domain compared to the source domain.

Classification object-detection +2

JointNet: Extending Text-to-Image Diffusion for Dense Distribution Modeling

no code implementations10 Oct 2023 Jingyang Zhang, Shiwei Li, Yuanxun Lu, Tian Fang, David McKinnon, Yanghai Tsin, Long Quan, Yao Yao

We introduce JointNet, a novel neural network architecture for modeling the joint distribution of images and an additional dense modality (e. g., depth maps).

Depth Estimation Depth Prediction +1

NeILF++: Inter-Reflectable Light Fields for Geometry and Material Estimation

no code implementations ICCV 2023 Jingyang Zhang, Yao Yao, Shiwei Li, Jingbo Liu, Tian Fang, David McKinnon, Yanghai Tsin, Long Quan

We present a novel differentiable rendering framework for joint geometry, material, and lighting estimation from multi-view images.

Lighting Estimation

Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction

no code implementations12 Dec 2022 Shiwei Li, Huifeng Guo, Lu Hou, Wei zhang, Xing Tang, Ruiming Tang, Rui Zhang, Ruixuan Li

To this end, we formulate a novel quantization training paradigm to compress the embeddings from the training stage, termed low-precision training (LPT).

Click-Through Rate Prediction Quantization

Critical Regularizations for Neural Surface Reconstruction in the Wild

no code implementations CVPR 2022 Jingyang Zhang, Yao Yao, Shiwei Li, Tian Fang, David McKinnon, Yanghai Tsin, Long Quan

The first one is the Hessian regularization that smoothly diffuses the signed distance values to the entire distance field given noisy and incomplete input.

Surface Reconstruction

Visibility-aware Multi-view Stereo Network

1 code implementation18 Aug 2020 Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang

As such, the adverse influence of occluded pixels is suppressed in the cost fusion.

3D Reconstruction Depth Estimation +1

Learning Stereo Matchability in Disparity Regression Networks

1 code implementation11 Aug 2020 Jingyang Zhang, Yao Yao, Zixin Luo, Shiwei Li, Tianwei Shen, Tian Fang, Long Quan

Finally, a matchability-aware disparity refinement is introduced to improve the depth inference in weakly matchable regions.

regression Stereo Matching

Stochastic Bundle Adjustment for Efficient and Scalable 3D Reconstruction

1 code implementation ECCV 2020 Lei Zhou, Zixin Luo, Mingmin Zhen, Tianwei Shen, Shiwei Li, Zhuofei Huang, Tian Fang, Long Quan

In this work, we propose a stochastic bundle adjustment algorithm which seeks to decompose the RCS approximately inside the LM iterations to improve the efficiency and scalability.

3D Reconstruction Clustering

Self-Supervised Monocular 3D Face Reconstruction by Occlusion-Aware Multi-view Geometry Consistency

1 code implementation ECCV 2020 Jiaxiang Shang, Tianwei Shen, Shiwei Li, Lei Zhou, Mingmin Zhen, Tian Fang, Long Quan

Recent learning-based approaches, in which models are trained by single-view images have shown promising results for monocular 3D face reconstruction, but they suffer from the ill-posed face pose and depth ambiguity issue.

3D Face Reconstruction Depth Estimation +2

BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo Networks

2 code implementations CVPR 2020 Yao Yao, Zixin Luo, Shiwei Li, Jingyang Zhang, Yufan Ren, Lei Zhou, Tian Fang, Long Quan

Compared with other computer vision tasks, it is rather difficult to collect a large-scale MVS dataset as it requires expensive active scanners and labor-intensive process to obtain ground truth 3D structures.

3D Reconstruction

Self-Supervised Learning of Depth and Motion Under Photometric Inconsistency

1 code implementation19 Sep 2019 Tianwei Shen, Lei Zhou, Zixin Luo, Yao Yao, Shiwei Li, Jiahui Zhang, Tian Fang, Long Quan

The self-supervised learning of depth and pose from monocular sequences provides an attractive solution by using the photometric consistency of nearby frames as it depends much less on the ground-truth data.

Pose Estimation Self-Supervised Learning

ContextDesc: Local Descriptor Augmentation with Cross-Modality Context

1 code implementation CVPR 2019 Zixin Luo, Tianwei Shen, Lei Zhou, Jiahui Zhang, Yao Yao, Shiwei Li, Tian Fang, Long Quan

Most existing studies on learning local features focus on the patch-based descriptions of individual keypoints, whereas neglecting the spatial relations established from their keypoint locations.

Geometric Matching

Recurrent MVSNet for High-resolution Multi-view Stereo Depth Inference

1 code implementation CVPR 2019 Yao Yao, Zixin Luo, Shiwei Li, Tianwei Shen, Tian Fang, Long Quan

However, one major limitation of current learned MVS approaches is the scalability: the memory-consuming cost volume regularization makes the learned MVS hard to be applied to high-resolution scenes.

Vocal Bursts Intensity Prediction

MVSNet: Depth Inference for Unstructured Multi-view Stereo

4 code implementations ECCV 2018 Yao Yao, Zixin Luo, Shiwei Li, Tian Fang, Long Quan

We present an end-to-end deep learning architecture for depth map inference from multi-view images.

Ranked #19 on Point Clouds on Tanks and Temples (Mean F1 (Intermediate) metric)

3D Reconstruction Point Clouds

Dual-Feature Warping-Based Motion Model Estimation

no code implementations ICCV 2015 Shiwei Li, Lu Yuan, Jian Sun, Long Quan

Line segment is a prominent feature in artificial environments and it can supply sufficient geometrical and structural information of scenes, which not only helps guild to a correct warp in low-texture condition, but also prevents the undesired distortion induced by warping.

Image Stitching Video Stabilization

Joint Camera Clustering and Surface Segmentation for Large-Scale Multi-View Stereo

no code implementations ICCV 2015 Runze Zhang, Shiwei Li, Tian Fang, Siyu Zhu, Long Quan

To solve this problem, we propose a joint optimization in a hierarchical framework to obtain the final surface segments and corresponding optimal camera clusters.

Clustering Segmentation

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