Search Results for author: Kaixuan Wang

Found 16 papers, 6 papers with code

GeoWizard: Unleashing the Diffusion Priors for 3D Geometry Estimation from a Single Image

no code implementations18 Mar 2024 Xiao Fu, Wei Yin, Mu Hu, Kaixuan Wang, Yuexin Ma, Ping Tan, Shaojie Shen, Dahua Lin, Xiaoxiao Long

We introduce GeoWizard, a new generative foundation model designed for estimating geometric attributes, e. g., depth and normals, from single images.

3D Reconstruction

Adaptive Fusion of Single-View and Multi-View Depth for Autonomous Driving

1 code implementation12 Mar 2024 Junda Cheng, Wei Yin, Kaixuan Wang, Xiaozhi Chen, Shijie Wang, Xin Yang

In this work, we propose a new robustness benchmark to evaluate the depth estimation system under various noisy pose settings.

Autonomous Driving Monocular Depth Estimation

GIM: Learning Generalizable Image Matcher From Internet Videos

no code implementations16 Feb 2024 Xuelun Shen, Zhipeng Cai, Wei Yin, Matthias Müller, Zijun Li, Kaixuan Wang, Xiaozhi Chen, Cheng Wang

Given an architecture, GIM first trains it on standard domain-specific datasets and then combines it with complementary matching methods to create dense labels on nearby frames of novel videos.

Domain Generalization

Artwork Protection Against Neural Style Transfer Using Locally Adaptive Adversarial Color Attack

no code implementations18 Jan 2024 Zhongliang Guo, Kaixuan Wang, Weiye Li, Yifei Qian, Ognjen Arandjelović, Lei Fang

This process leverages neural networks to merge aesthetic elements of a style image with the structural aspects of a content image into a harmoniously integrated visual result.

Adversarial Attack Style Transfer

UC-NeRF: Neural Radiance Field for Under-Calibrated Multi-view Cameras in Autonomous Driving

no code implementations28 Nov 2023 Kai Cheng, Xiaoxiao Long, Wei Yin, Jin Wang, Zhiqiang Wu, Yuexin Ma, Kaixuan Wang, Xiaozhi Chen, Xuejin Chen

Multi-camera setups find widespread use across various applications, such as autonomous driving, as they greatly expand sensing capabilities.

Autonomous Driving Depth Estimation +1

Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image

1 code implementation ICCV 2023 Wei Yin, Chi Zhang, Hao Chen, Zhipeng Cai, Gang Yu, Kaixuan Wang, Xiaozhi Chen, Chunhua Shen

State-of-the-art (SOTA) monocular metric depth estimation methods can only handle a single camera model and are unable to perform mixed-data training due to the metric ambiguity.

Ranked #16 on Monocular Depth Estimation on NYU-Depth V2 (using extra training data)

Image Reconstruction Monocular Depth Estimation +1

Retrieval-augmented GPT-3.5-based Text-to-SQL Framework with Sample-aware Prompting and Dynamic Revision Chain

no code implementations11 Jul 2023 Chunxi Guo, Zhiliang Tian, Jintao Tang, Shasha Li, Zhihua Wen, Kaixuan Wang, Ting Wang

Prompt learning with large language models (LLMs) has emerged as a recent approach, which designs prompts to lead LLMs to understand the input question and generate the corresponding SQL.

Retrieval Text-To-SQL

Learning to Fuse Monocular and Multi-view Cues for Multi-frame Depth Estimation in Dynamic Scenes

1 code implementation CVPR 2023 Rui Li, Dong Gong, Wei Yin, Hao Chen, Yu Zhu, Kaixuan Wang, Xiaozhi Chen, Jinqiu Sun, Yanning Zhang

To let the geometric perception learned from multi-view cues in static areas propagate to the monocular representation in dynamic areas and let monocular cues enhance the representation of multi-view cost volume, we propose a cross-cue fusion (CCF) module, which includes the cross-cue attention (CCA) to encode the spatially non-local relative intra-relations from each source to enhance the representation of the other.

Autonomous Driving Depth Estimation

Multi-Camera Collaborative Depth Prediction via Consistent Structure Estimation

no code implementations5 Oct 2022 Jialei Xu, Xianming Liu, Yuanchao Bai, Junjun Jiang, Kaixuan Wang, Xiaozhi Chen, Xiangyang Ji

During the iterative update, the results of depth estimation are compared across cameras and the information of overlapping areas is propagated to the whole depth maps with the help of basis formulation.

Depth Prediction Monocular Depth Estimation

Recovery of Graph Signals from Sign Measurements

no code implementations26 Sep 2021 Wenwei Liu, Hui Feng, Kaixuan Wang, Feng Ji, Bo Hu

Sampling and interpolation have been extensively studied, in order to reconstruct or estimate the entire graph signal from the signal values on a subset of vertexes, of which most achievements are about continuous signals.

Flow-Motion and Depth Network for Monocular Stereo and Beyond

1 code implementation12 Sep 2019 Kaixuan Wang, Shaojie Shen

Third, beyond two-view depth estimation, we further extend the above networks to fuse depth information from multiple target images and estimate the depth map of the source image.

Depth Estimation Optical Flow Estimation

Real-time Scalable Dense Surfel Mapping

1 code implementation10 Sep 2019 Kaixuan Wang, Fei Gao, Shaojie Shen

First, superpixels extracted from both intensity and depth images are used to model surfels in the system.

3D Point Cloud Reconstruction Superpixels

An Efficient B-spline-Based Kinodynamic Replanning Framework for Quadrotors

no code implementations24 Jun 2019 Wenchao Ding, Wenliang Gao, Kaixuan Wang, Shaojie Shen

Our framework starts with an efficient B-spline-based kinodynamic (EBK) search algorithm which finds a feasible trajectory with minimum control effort and time.

Motion Planning

Probabilistic Dense Reconstruction from a Moving Camera

no code implementations26 Mar 2019 Yonggen Ling, Kaixuan Wang, Shaojie Shen

This paper presents a probabilistic approach for online dense reconstruction using a single monocular camera moving through the environment.

Robotics

MVDepthNet: Real-time Multiview Depth Estimation Neural Network

1 code implementation23 Jul 2018 Kaixuan Wang, Shaojie Shen

In this paper, we present MVDepthNet, a convolutional network to solve the depth estimation problem given several image-pose pairs from a localized monocular camera in neighbor viewpoints.

Data Augmentation Depth Estimation

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