We present C·ASE, an efficient and effective framework that learns
condi...
We propose a method, named DualMesh-UDF, to extract a surface from unsig...
In this paper, we present a novel diffusion model called that generates
...
Neural implicit representations are known to be more compact for depicti...
Barrier terms for Incremental Potential Contact (IPC) energy are crucial...
We present a neural rendering-based method called NeRO for reconstructin...
We propose an end-to-end deep-learning approach for automatic rigging an...
This paper presents a novel grid-based NeRF called F2-NeRF (Fast-Free-Ne...
As it is hard to calibrate single-view RGB images in the wild, existing ...
The variance reduction speed of physically-based rendering is heavily
af...
We present a novel method, called NeuralUDF, for reconstructing surfaces...
In this paper, we introduce a set of effective TOken REduction (TORE)
st...
Understanding dynamic hand motions and actions from egocentric RGB video...
This paper presents a Progressively-connected Light Field network (ProLi...
Reconstructing 3D indoor scenes from 2D images is an important task in m...
Understanding human intentions during interactions has been a long-lasti...
We introduce SparseNeuS, a novel neural rendering based method for the t...
In this paper, we present a generalizable model-free 6-DoF object pose
e...
Controlling the manner in which a character moves in a real-time animati...
Speech-driven 3D facial animation is challenging due to the complex geom...
Speech-driven 3D facial animation with accurate lip synchronization has ...
In this paper, we present a simple yet effective formulation called Cove...
6D pose estimation of rigid objects from a single RGB image has seen
tre...
We present a novel neural surface reconstruction method, called NeuS, fo...
We introduce MotioNet, a deep neural network that directly reconstructs ...
Recently, there have been a lot of researches to synthesize / edit the m...
This paper presents a new learning framework that leverages the knowledg...
This paper presents a hierarchical framework for Deep Reinforcement Lear...
This paper presents a hierarchical framework based on deep reinforcement...