33 citations · 82 across the 17 of their papers we have counts for
6 papers · 1 filter
RPG: Learning Recursive Point Cloud Generation
Wei-Jan Ko, Hui-Yu Huang, Yu-Liang Kuo +3
In this paper we propose a novel point cloud generator that is able to reconstruct and generate 3D point clouds composed of semantic parts. Given a latent representation of the tar…
Robust 360-8PA: Redesigning The Normalized 8-point Algorithm for 360-FoV Images
Bolivar Solarte, Chin-Hsuan Wu, Kuan-Wei Lu +3
This paper presents a novel preconditioning strategy for the classic 8-point algorithm (8-PA) for estimating an essential matrix from 360-FoV images (i.e., equirectangular images)…
LED2-Net: Monocular 360 Layout Estimation via Differentiable Depth Rendering
Fu-En Wang, Yu-Hsuan Yeh, Min Sun +2
Although significant progress has been made in room layout estimation, most methods aim to reduce the loss in the 2D pixel coordinate rather than exploiting the room structure in t…
Bridging the Visual Gap: Wide-Range Image Blending
Chia-Ni Lu, Ya-Chu Chang, Wei-Chen Chiu
In this paper we propose a new problem scenario in image processing, wide-range image blending, which aims to smoothly merge two different input photos into a panorama by generatin…
Domain Adaptation for Learning Generator from Paired Few-Shot Data
Chun-Chih Teng, Pin-Yu Chen, Wei-Chen Chiu
We propose a Paired Few-shot GAN (PFS-GAN) model for learning generators with sufficient source data and a few target data. While generative model learning typically needs large-sc…
Class-incremental Learning with Rectified Feature-Graph Preservation
Cheng-Hsun Lei, Yi-Hsin Chen, Wen-Hsiao Peng +1
In this paper, we address the problem of distillation-based class-incremental learning with a single head. A central theme of this task is to learn new classes that arrive in seque…