181 citations · 266 across the 10 of their papers we have counts for
20 papers
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…
Direct Dense Pose Estimation
Liqian Ma, Lingjie Liu, Christian Theobalt +1
Dense human pose estimation is the problem of learning dense correspondences between RGB images and the surfaces of human bodies, which finds various applications, such as human bo…
Estimating Egocentric 3D Human Pose in the Wild with External Weak Supervision
Jian Wang, Lingjie Liu, Weipeng Xu +3
Egocentric 3D human pose estimation with a single fisheye camera has drawn a significant amount of attention recently. However, existing methods struggle with pose estimation from…
StyleNeRF: A Style-based 3D-Aware Generator for High-resolution Image Synthesis
Jiatao Gu, Lingjie Liu, Peng Wang +1
We propose StyleNeRF, a 3D-aware generative model for photo-realistic high-resolution image synthesis with high multi-view consistency, which can be trained on unstructured 2D imag…
CurveFusion: Reconstructing Thin Structures from RGBD Sequences
Lingjie Liu, Nenglun Chen, Duygu Ceylan +3
We introduce CurveFusion, the first approach for high quality scanning of thin structures at interactive rates using a handheld RGBD camera. Thin filament-like structures are mathe…
Real-time Deep Dynamic Characters
Marc Habermann, Lingjie Liu, Weipeng Xu +3
We propose a deep videorealistic 3D human character model displaying highly realistic shape, motion, and dynamic appearance learned in a new weakly supervised way from multi-view i…