We study the problem of synthesizing a long-term dynamic video from only...
Bokeh is widely used in photography to draw attention to the subject whi...
Depth estimation aims to predict dense depth maps. In autonomous driving...
Video depth estimation aims to infer temporally consistent depth. Some
m...
We consider the problem of realistic bokeh rendering from a single
all-i...
All-in-Focus (AIF) photography is expected to be a commercial selling po...
We present 3D Cinemagraphy, a new technique that marries 2D image animat...
We study the problem of novel view synthesis of objects from a single im...
Temporal consistency is the key challenge of video depth estimation. Pre...
Partial occlusion effects are a phenomenon that blurry objects near a ca...
We propose BokehMe, a hybrid bokeh rendering framework that marries a ne...
This paper reviews the second AIM realistic bokeh effect rendering chall...
The local reference frame (LRF) acts as a critical role in 3D local shap...
Matching corresponding features between two images is a fundamental task...
Seeking consistent point-to-point correspondences between 3D rigid data
...
This paper presents a simple yet very effective data-driven approach to ...
In this paper, we present our deep attention-based classification (DABC)...
Most existing algorithms for depth estimation from single monocular imag...
This paper presents a thorough evaluation of several widely-used 3D
corr...
Domain adaption (DA) allows machine learning methods trained on data sam...