research
∙
09/12/2023
Towards High-Quality Specular Highlight Removal by Leveraging Large-Scale Synthetic Data
This paper aims to remove specular highlights from a single object-level...
share
research
∙
03/20/2023
NeTO:Neural Reconstruction of Transparent Objects with Self-Occlusion Aware Refraction-Tracing
We present a novel method, called NeTO, for capturing 3D geometry of sol...
research
∙
10/13/2022
NeuralRoom: Geometry-Constrained Neural Implicit Surfaces for Indoor Scene Reconstruction
We present a novel neural surface reconstruction method called NeuralRoo...
research
∙
06/17/2022
Video Shadow Detection via Spatio-Temporal Interpolation Consistency Training
It is challenging to annotate large-scale datasets for supervised video ...
research
∙
04/21/2022
DGECN: A Depth-Guided Edge Convolutional Network for End-to-End 6D Pose Estimation
Monocular 6D pose estimation is a fundamental task in computer vision. E...
research
∙
09/14/2021
Luminance Attentive Networks for HDR Image and Panorama Reconstruction
It is very challenging to reconstruct a high dynamic range (HDR) from a ...
research
∙
08/23/2021
CANet: A Context-Aware Network for Shadow Removal
In this paper, we propose a novel two-stage context-aware network named ...
research
∙
08/05/2021
Dual Graph Convolutional Networks with Transformer and Curriculum Learning for Image Captioning
Existing image captioning methods just focus on understanding the relati...
research
∙
07/31/2021
Scene Inference for Object Illumination Editing
The seamless illumination integration between a foreground object and a ...
research
∙
07/28/2021
CRD-CGAN: Category-Consistent and Relativistic Constraints for Diverse Text-to-Image Generation
Generating photo-realistic images from a text description is a challengi...
research
∙
07/05/2020
Detail Preserved Point Cloud Completion via Separated Feature Aggregation
Point cloud shape completion is a challenging problem in 3D vision and r...
research
∙
11/20/2019
RIS-GAN: Explore Residual and Illumination with Generative Adversarial Networks for Shadow Removal
Residual images and illumination estimation have been proved very helpfu...
research
∙
08/04/2019
ARGAN: Attentive Recurrent Generative Adversarial Network for Shadow Detection and Removal
In this paper we propose an attentive recurrent generative adversarial n...
research
∙
07/26/2019
VITAL: A Visual Interpretation on Text with Adversarial Learning for Image Labeling
In this paper, we propose a novel way to interpret text information by e...
research
∙
07/25/2019
Enhancing Underexposed Photos using Perceptually Bidirectional Similarity
This paper addresses the problem of enhancing underexposed photos. Exist...
research
∙
04/22/2019