14 citations · 19 across the 5 of their papers we have counts for
5 papers
TeamHOI: Learning a Unified Policy for Cooperative Human-Object Interactions with Any Team Size
Stefan Lionar, Gim Hee Lee
Physics-based humanoid control has achieved remarkable progress in enabling realistic and high-performing single-agent behaviors, yet extending these capabilities to cooperative hu…
TreeMeshGPT: Artistic Mesh Generation with Autoregressive Tree Sequencing
Stefan Lionar, Jiabin Liang, Gim Hee Lee
We introduce TreeMeshGPT, an autoregressive Transformer designed to generate high-quality artistic meshes aligned with input point clouds. Instead of the conventional next-token pr…
NU-MCC: Multiview Compressive Coding with Neighborhood Decoder and Repulsive UDF
Stefan Lionar, Xiangyu Xu, Min Lin +1
Remarkable progress has been made in 3D reconstruction from single-view RGB-D inputs. MCC is the current state-of-the-art method in this field, which achieves unprecedented success…
NeuralBlox: Real-Time Neural Representation Fusion for Robust Volumetric Mapping
Stefan Lionar, Lukas Schmid, Cesar Cadena +2
We present a novel 3D mapping method leveraging the recent progress in neural implicit representation for 3D reconstruction. Most existing state-of-the-art neural implicit represen…
Dynamic Plane Convolutional Occupancy Networks
Stefan Lionar, Daniil Emtsev, Dusan Svilarkovic +1
Learning-based 3D reconstruction using implicit neural representations has shown promising progress not only at the object level but also in more complicated scenes. In this paper,…