This work proposes , a neural deformation model which results
in approxi...
Our paper presents My3DGen, a practical system for creating a personaliz...
We propose a fast and generalizable solution to Multi-view Photometric S...
In this paper, we work to bring telepresence to every desktop. Unlike
co...
Machine learning models for camera-based physiological measurement can h...
Reconstructing a 3D surface from colonoscopy video is challenging due to...
Typical diffusion models are trained to accept a particular form of
cond...
Many video editing tasks such as rotoscoping or object removal require t...
We introduce the first end-to-end learning-based solution to near-field
...
We introduce a robust, real-time, high-resolution human video matting me...
Every time you sit in front of a TV or monitor, your face is actively
il...
In this paper, we present a technique for estimating the geometry and
re...
We introduce a real-time, high-resolution background replacement techniq...
We propose a method for creating a matte – the per-pixel foreground colo...
We address the problem of single photo age progression and regression-th...
Inverse rendering aims to estimate physical scene attributes (e.g.,
refl...
We present SfSNet, an end-to-end learning framework for producing an acc...
Accurate estimation of camera matrices is an important step in structure...
We introduce a new, integrated approach to uncalibrated photometric ster...