activity
20182022
most citedPoint Cloud Compression with Sibling Context and Surface Priors

28 citations · 104 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2022★ 28 cited

Point Cloud Compression with Sibling Context and Surface Priors

Zhili Chen, Zian Qian, Sukai Wang +1

We present a novel octree-based multi-level framework for large-scale point cloud compression, which can organize sparse and unstructured point clouds in a memory-efficient way. In…

cs.CV2020★ 25 cited

HoliCity: A City-Scale Data Platform for Learning Holistic 3D Structures

Yichao Zhou, Jingwei Huang, Xili Dai +4

We present HoliCity, a city-scale 3D dataset with rich structural information. Currently, this dataset has 6,300 real-world panoramas of resolution that are acc…

cs.CV2020★ 2 cited

Intuitive, Interactive Beard and Hair Synthesis with Generative Models

Kyle Olszewski, Duygu Ceylan, Jun Xing +4

We present an interactive approach to synthesizing realistic variations in facial hair in images, ranging from subtle edits to existing hair to the addition of complex and challeng…

cs.CV2020★ 15 cited

Anatomy-aware 3D Human Pose Estimation with Bone-based Pose Decomposition

Tianlang Chen, Chen Fang, Xiaohui Shen +3

In this work, we propose a new solution to 3D human pose estimation in videos. Instead of directly regressing the 3D joint locations, we draw inspiration from the human skeleton an…

cs.CV2019★ 7 cited

Learning to Reconstruct 3D Manhattan Wireframes from a Single Image

Yichao Zhou, Haozhi Qi, Yuexiang Zhai +4

In this paper, we propose a method to obtain a compact and accurate 3D wireframe representation from a single image by effectively exploiting global structural regularities. Our me…

cs.GR2018★ 5 cited

NeuralDrop: DNN-based Simulation of Small-Scale Liquid Flows on Solids

Rajaditya Mukherjee, Qingyang Li, Zhili Chen +2

Small-scale liquid flows on solid surfaces provide convincing details in liquid animation, but they are difficult to be simulated with efficiency and fidelity, mostly due to the co…

cs.CV2018★ 22 cited

Learning to Sketch with Deep Q Networks and Demonstrated Strokes

Tao Zhou, Chen Fang, Zhaowen Wang +5

Doodling is a useful and common intelligent skill that people can learn and master. In this work, we propose a two-stage learning framework to teach a machine to doodle in a simula…