We present C·ASE, an efficient and effective framework that learns
condi...
The recent surge of utilizing deep neural networks for geometric process...
We propose a method, named DualMesh-UDF, to extract a surface from unsig...
The reconstruction of indoor scenes from multi-view RGB images is challe...
In this paper, we present a novel diffusion model called that generates
...
Neural implicit representation is a promising approach for reconstructin...
This paper presents a LoRA-free method for stylized image generation tha...
Most of the existing point-to-mesh distance query solvers, such as Proxi...
Neural implicit representations are known to be more compact for depicti...
Blind face restoration aims at recovering high-quality face images from ...
Online streaming is an emerging market that address much attention. Asse...
In this paper, we propose a technique for making humans in photographs
p...
Vision foundation models such as Contrastive Vision-Language Pre-trainin...
Geodesics are essential in many geometry processing applications. Howeve...
We present a neural rendering-based method called NeRO for reconstructin...
Estimating normals with globally consistent orientations for a raw point...
Embedding based retrieval has seen its usage in a variety of search
appl...
In this paper, we present a new method for the multiview registration of...
This paper presents a novel grid-based NeRF called F2-NeRF (Fast-Free-Ne...
We present a novel method, called NeTO, for capturing 3D geometry of sol...
Contrastive language-image pre-training (CLIP) achieves promising result...
In this paper, we propose to compute Voronoi diagrams over mesh surfaces...
Cone beam computed tomography (CBCT) has been widely used in clinical
pr...
The recent neural implicit representation-based methods have greatly adv...
In orthodontic treatment, a full tooth model consisting of both the crow...
We present a novel method, called NeuralUDF, for reconstructing surfaces...
3D Morphable models of the human body capture variations among subjects ...
In this paper, we introduce a set of effective TOken REduction (TORE)
st...
Sherds, as the most common artifacts uncovered during archaeological
exc...
We propose a novel framework for computing the medial axis transform of ...
We investigate transductive zero-shot point cloud semantic segmentation ...
Understanding dynamic hand motions and actions from egocentric RGB video...
Creating 3D shapes from 2D drawings is an important problem with applica...
Estimating the pose of a moving camera from monocular video is a challen...
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...
We propose a method for self-supervised image representation learning un...
Promising performance has been achieved for visual perception on the poi...
We propose a deep visuo-tactile model for realtime estimation of the liq...
Blind face restoration is to recover a high-quality face image from unkn...
Speech-driven 3D facial animation is challenging due to the complex geom...
Speech-driven 3D facial animation with accurate lip synchronization has ...
This paper demonstrates that multilingual pretraining, a proper fine-tun...
In this paper, we present a simple yet effective formulation called Cove...
Surface reconstruction from noisy, non-uniform, and unoriented point clo...
Personalized video highlight detection aims to shorten a long video to
i...
In this paper, we propose a novel local descriptor-based framework, call...