Ke Xian | DeepAI

AI Chat

Featured Co-authors

Lei Zhang
366 publications
Chunhua Shen
312 publications
Xin Li
301 publications
Peng Wang
224 publications
Radu Timofte
174 publications
Wei Wei
156 publications
Anton van den Hengel
116 publications
Guosheng Lin
98 publications
Jian Cheng
79 publications
Chen Zhao
78 publications
Yanning Zhang
78 publications

∙ 08/20/2023

Make-It-4D: Synthesizing a Consistent Long-Term Dynamic Scene Video from a Single Image

We study the problem of synthesizing a long-term dynamic video from only...

0 Liao Shen, et al. ∙

∙ 08/17/2023

Dr.Bokeh: DiffeRentiable Occlusion-aware Bokeh Rendering

Bokeh is widely used in photography to draw attention to the subject whi...

0 Yichen Sheng, et al. ∙

∙ 08/04/2023

Diffusion-Augmented Depth Prediction with Sparse Annotations

Depth estimation aims to predict dense depth maps. In autonomous driving...

0 Jiaqi Li, et al. ∙

∙ 07/17/2023

Neural Video Depth Stabilizer

Video depth estimation aims to infer temporally consistent depth. Some m...

0 Yiran Wang, et al. ∙

∙ 06/07/2023

Defocus to focus: Photo-realistic bokeh rendering by fusing defocus and radiance priors

We consider the problem of realistic bokeh rendering from a single all-i...

0 Xianrui Luo, et al. ∙

∙ 04/11/2023

Point-and-Shoot All-in-Focus Photo Synthesis from Smartphone Camera Pair

All-in-Focus (AIF) photography is expected to be a commercial selling po...

0 Xianrui Luo, et al. ∙

∙ 03/10/2023

3D Cinemagraphy from a Single Image

We present 3D Cinemagraphy, a new technique that marries 2D image animat...

0 Xingyi Li, et al. ∙

∙ 09/29/2022

SymmNeRF: Learning to Explore Symmetry Prior for Single-View View Synthesis

We study the problem of novel view synthesis of objects from a single im...

0 Xingyi Li, et al. ∙

∙ 07/31/2022

Less is More: Consistent Video Depth Estimation with Masked Frames Modeling

Temporal consistency is the key challenge of video depth estimation. Pre...

1 Yiran Wang, et al. ∙

∙ 07/18/2022

MPIB: An MPI-Based Bokeh Rendering Framework for Realistic Partial Occlusion Effects

Partial occlusion effects are a phenomenon that blurry objects near a ca...

1 Juewen Peng, et al. ∙

∙ 06/25/2022

BokehMe: When Neural Rendering Meets Classical Rendering

We propose BokehMe, a hybrid bokeh rendering framework that marries a ne...

11 Juewen Peng, et al. ∙

∙ 11/10/2020

AIM 2020 Challenge on Rendering Realistic Bokeh

This paper reviews the second AIM realistic bokeh effect rendering chall...

6 Andrey Ignatov, et al. ∙

∙ 01/22/2020

LRF-Net: Learning Local Reference Frames for 3D Local Shape Description and Matching

The local reference frame (LRF) acts as a critical role in 3D local shap...

7 Angfan Zhu, et al. ∙

∙ 09/03/2019

Iterative Clustering with Game-Theoretic Matching for Robust Multi-consistency Correspondence

Matching corresponding features between two images is a fundamental task...

5 Chen Zhao, et al. ∙

∙ 07/05/2019

A Performance Evaluation of Correspondence Grouping Methods for 3D Rigid Data Matching

Seeking consistent point-to-point correspondences between 3D rigid data ...

2 Jiaqi Yang, et al. ∙

∙ 04/27/2019

Learning to Fuse Local Geometric Features for 3D Rigid Data Matching

This paper presents a simple yet very effective data-driven approach to ...

0 Jiaqi Yang, et al. ∙

∙ 07/11/2018

Deep attention-based classification network for robust depth prediction

In this paper, we present our deep attention-based classification (DABC)...

8 Ruibo Li, et al. ∙

∙ 06/02/2018

Monocular Depth Estimation with Augmented Ordinal Depth Relationships

Most existing algorithms for depth estimation from single monocular imag...

0 Yuanzhouhan Cao, et al. ∙

∙ 04/06/2018

Performance Evaluation of 3D Correspondence Grouping Algorithms

This paper presents a thorough evaluation of several widely-used 3D corr...

0 Jiaqi Yang, et al. ∙

∙ 07/19/2017

When Unsupervised Domain Adaptation Meets Tensor Representations

Domain adaption (DA) allows machine learning methods trained on data sam...

0 Hao Lu, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world