Search Results for author: Guanqi Zhan

Found 6 papers, 6 papers with code

Amodal Ground Truth and Completion in the Wild

1 code implementation28 Dec 2023 Guanqi Zhan, Chuanxia Zheng, Weidi Xie, Andrew Zisserman

In contrast, we use 3D data to establish an automatic pipeline to determine authentic ground truth amodal masks for partially occluded objects in real images.

Image Segmentation Segmentation +1

What Does Stable Diffusion Know about the 3D Scene?

1 code implementation10 Oct 2023 Guanqi Zhan, Chuanxia Zheng, Weidi Xie, Andrew Zisserman

(iii) We find that features from Stable Diffusion are good for discriminative learning of a number of properties, including scene geometry, support relations, shadows and depth, but less performant for occlusion and material.

Score-PA: Score-based 3D Part Assembly

1 code implementation8 Sep 2023 Junfeng Cheng, Mingdong Wu, Ruiyuan Zhang, Guanqi Zhan, Chao Wu, Hao Dong

In this paper, we formulate this task from a novel generative perspective, introducing the Score-based 3D Part Assembly framework (Score-PA) for 3D part assembly.

A Tri-Layer Plugin to Improve Occluded Detection

1 code implementation18 Oct 2022 Guanqi Zhan, Weidi Xie, Andrew Zisserman

To this end we make the following four contributions: (1) We propose a simple 'plugin' module for the detection head of two-stage object detectors to improve the recall of partially occluded objects.

Instance Segmentation Object +3

Generative 3D Part Assembly via Dynamic Graph Learning

3 code implementations NeurIPS 2020 Jialei Huang, Guanqi Zhan, Qingnan Fan, Kaichun Mo, Lin Shao, Baoquan Chen, Leonidas Guibas, Hao Dong

Analogous to buying an IKEA furniture, given a set of 3D parts that can assemble a single shape, an intelligent agent needs to perceive the 3D part geometry, reason to propose pose estimations for the input parts, and finally call robotic planning and control routines for actuation.

Graph Learning Pose Estimation +1

DLGAN: Disentangling Label-Specific Fine-Grained Features for Image Manipulation

1 code implementation22 Nov 2019 Guanqi Zhan, Yihao Zhao, Bingchan Zhao, Haoqi Yuan, Baoquan Chen, Hao Dong

By mapping the discrete label-specific attribute features into a continuous prior distribution, we leverage the advantages of both discrete labels and reference images to achieve image manipulation in a hybrid fashion.

Attribute Image Manipulation +1

Cannot find the paper you are looking for? You can Submit a new open access paper.