Morphable models are fundamental to numerous human-centered processes as...
Researchers have recently begun exploring the use of StyleGAN-based mode...
We propose VidStyleODE, a spatiotemporally continuous disentangled
Video...
We present a method that enables synthesizing novel views and novel pose...
Image diffusion models, trained on massive image collections, have emerg...
The vision community has explored numerous pose guided human editing met...
The task of human reposing involves generating a realistic image of a pe...
Realistic dynamic garments on animated characters have many AR/VR
applic...
There have been remarkable successes in computer vision with deep learni...
Appearance of dressed humans undergoes a complex geometric transformatio...
Synthesizing dynamic appearances of humans in motion plays a central rol...
In this paper, we aim at synthesizing a free-viewpoint video of an arbit...
This paper introduces a motion retargeting method that preserves
self-co...
Representing human-made objects as a collection of base primitives has a...
A long-standing goal in computer vision is to capture, model, and
realis...
We introduce CurveFusion, the first approach for high quality scanning o...
A deep generative model that describes human motions can benefit a wide ...
Fast and light-weight methods for animating 3D characters are desirable ...
A vital task of the wider digital human effort is the creation of realis...
Creating fine garment details requires significant efforts and huge
comp...
We present an interactive approach to synthesizing realistic variations ...
We present a generative model to synthesize 3D shapes as sets of handles...
Learning structures of 3D shapes is a fundamental problem in the field o...
Estimating 3D hand pose from single RGB images is a highly ambiguous pro...
Reconstructing 3D shapes from single-view images has been a long-standin...
Applications in virtual and augmented reality create a demand for rapid
...
A long-standing challenge in scene analysis is the recovery of scene
arr...
This paper proposes a deep neural network (DNN) for piece-wise planar
de...
We propose a recurrent neural network architecture with a Forward Kinema...
Human shape estimation is an important task for video editing, animation...
The success of various applications including robotics, digital content
...
The ability to edit materials of objects in images is desirable by many
...
We present a new local descriptor for 3D shapes, directly applicable to ...
We present a transformation-grounded image generation network for novel ...
Due to the abundance of 2D product images from the Internet, developing
...
We present an end-to-end system for reconstructing complete watertight a...
We propose a deep learning approach for finding dense correspondences be...