2 citations · 2 across the 1 of their papers we have counts for
4 papers · 1 filter
3PSDF: Three-Pole Signed Distance Function for Learning Surfaces with Arbitrary Topologies
Weikai Chen, Cheng Lin, Weiyang Li +1
Recent advances in learning 3D shapes using neural implicit functions have achieved impressive results by breaking the previous barrier of resolution and diversity for varying topo…
Adaptive Surface Normal Constraint for Depth Estimation
Xiaoxiao Long, Cheng Lin, Lingjie Liu +4
We present a novel method for single image depth estimation using surface normal constraints. Existing depth estimation methods either suffer from the lack of geometric constraints…
Modeling 3D Shapes by Reinforcement Learning
Cheng Lin, Tingxiang Fan, Wenping Wang +1
We explore how to enable machines to model 3D shapes like human modelers using deep reinforcement learning (RL). In 3D modeling software like Maya, a modeler usually creates a mesh…
Floorplan-Jigsaw: Jointly Estimating Scene Layout and Aligning Partial Scans
Cheng Lin, Changjian Li, Wenping Wang
We present a novel approach to align partial 3D reconstructions which may not have substantial overlap. Using floorplan priors, our method jointly predicts a room layout and estima…