Reconstructing dynamic 3D garment surfaces with open boundaries from
mon...
Being data-driven is one of the most iconic properties of deep learning
...
Existing neural radiance fields (NeRF) methods for large-scale scene mod...
Multispectral photometric stereo(MPS) aims at recovering the surface nor...
In this paper, we address the "dual problem" of multi-view scene
reconst...
Traditional multi-view photometric stereo (MVPS) methods are often compo...
We present a new framework to reconstruct holistic 3D indoor scenes incl...
Recently, Neural Radiance Fields (NeRF) is revolutionizing the task of n...
This paper addresses the problem of single view 3D human reconstruction....
This paper addresses the problem of face video inpainting. Existing vide...
High dynamic range (HDR) video reconstruction from sequences captured wi...
This paper addresses the problem of photometric stereo, in both calibrat...
This paper addresses the problem of image matting for transparent object...
This paper proposes an uncalibrated photometric stereo method for
non-La...
This paper addresses the problem of photometric stereo for non-Lambertia...
This paper addresses the problem of transparent object matting. Existing...