research
∙
09/18/2023
PanoMixSwap Panorama Mixing via Structural Swapping for Indoor Scene Understanding
The volume and diversity of training data are critical for modern deep l...
share
research
∙
08/17/2023
ImGeoNet: Image-induced Geometry-aware Voxel Representation for Multi-view 3D Object Detection
We propose ImGeoNet, a multi-view image-based 3D object detection framew...
research
∙
08/02/2022
Multiview Regenerative Morphing with Dual Flows
This paper aims to address a new task of image morphing under a multivie...
research
∙
06/10/2022
Improved Direct Voxel Grid Optimization for Radiance Fields Reconstruction
In this technical report, we improve the DVGO framework (called DVGOv2),...
research
∙
03/30/2022
Self-supervised 360^∘ Room Layout Estimation
We present the first self-supervised method to train panoramic room layo...
research
∙
03/16/2022
Data Efficient 3D Learner via Knowledge Transferred from 2D Model
Collecting and labeling the registered 3D point cloud is costly. As a re...
research
∙
11/22/2021
Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstruction
We present a super-fast convergence approach to reconstructing the per-s...
research
∙
08/04/2021
Specialize and Fuse: Pyramidal Output Representation for Semantic Segmentation
We present a novel pyramidal output representation to ensure parsimony w...
research
∙
06/27/2021
Indoor Panorama Planar 3D Reconstruction via Divide and Conquer
Indoor panorama typically consists of human-made structures parallel or ...
research
∙
06/21/2021
Moving in a 360 World: Synthesizing Panoramic Parallaxes from a Single Panorama
We present Omnidirectional Neural Radiance Fields (OmniNeRF), the first ...
research
∙
06/08/2021
A Synchronized Reprojection-based Model for 3D Human Pose Estimation
3D human pose estimation is still a challenging problem despite the larg...
research
∙
11/23/2020
HoHoNet: 360 Indoor Holistic Understanding with Latent Horizontal Features
We present HoHoNet, a versatile and efficient framework for holistic und...
research
∙
10/03/2019
360-Indoor: Towards Learning Real-World Objects in 360° Indoor Equirectangular Images
While there are several widely used object detection datasets, current c...
research
∙
05/29/2019
Flat2Layout: Flat Representation for Estimating Layout of General Room Types
This paper proposes a new approach, Flat2Layout, for estimating general ...
research
∙
01/12/2019
HorizonNet: Learning Room Layout with 1D Representation and Pano Stretch Data Augmentation
We present a new approach to the problem of estimating 3D room layout fr...
research
∙
07/03/2018