51 citations · 115 across the 10 of their papers we have counts for
5 papers · 1 filter
NeuralUDF: Learning Unsigned Distance Fields for Multi-view Reconstruction of Surfaces with Arbitrary Topologies
Xiaoxiao Long, Cheng Lin, Lingjie Liu +5
We present a novel method, called NeuralUDF, for reconstructing surfaces with arbitrary topologies from 2D images via volume rendering. Recent advances in neural rendering based re…
TORE: Token Reduction for Efficient Human Mesh Recovery with Transformer
Zhiyang Dou, Qingxuan Wu, Cheng Lin +5
In this paper, we introduce a set of simple yet effective TOken REduction (TORE) strategies for Transformer-based Human Mesh Recovery from monocular images. Current SOTA performanc…
SparseNeuS: Fast Generalizable Neural Surface Reconstruction from Sparse Views
Xiaoxiao Long, Cheng Lin, Peng Wang +2
We introduce SparseNeuS, a novel neural rendering based method for the task of surface reconstruction from multi-view images. This task becomes more difficult when only sparse imag…
Gen6D: Generalizable Model-Free 6-DoF Object Pose Estimation from RGB Images
Yuan Liu, Yilin Wen, Sida Peng +4
In this paper, we present a generalizable model-free 6-DoF object pose estimator called Gen6D. Existing generalizable pose estimators either need high-quality object models or requ…
A Novel Plug-in Module for Fine-Grained Visual Classification
Po-Yung Chou, Cheng-Hung Lin, Wen-Chung Kao
Visual classification can be divided into coarse-grained and fine-grained classification. Coarse-grained classification represents categories with a large degree of dissimilarity,…