2 citations · 3 across the 5 of their papers we have counts for
5 papers
HR-NeuS: Recovering High-Frequency Surface Geometry via Neural Implicit Surfaces
Erich Liang, Kenan Deng, Xi Zhang +1
Recent advances in neural implicit surfaces for multi-view 3D reconstruction primarily focus on improving large-scale surface reconstruction accuracy, but often produce over-smooth…
Unsupervised Scene Sketch to Photo Synthesis
Jiayun Wang, Sangryul Jeon, Stella X. Yu +3
Sketches make an intuitive and powerful visual expression as they are fast executed freehand drawings. We present a method for synthesizing realistic photos from scene sketches. Wi…
Structured Graph Variational Autoencoders for Indoor Furniture layout Generation
Aditya Chattopadhyay, Xi Zhang, David Paul Wipf +2
We present a structured graph variational autoencoder for generating the layout of indoor 3D scenes. Given the room type (e.g., living room or library) and the room layout (e.g., r…
ABO: Dataset and Benchmarks for Real-World 3D Object Understanding
Jasmine Collins, Shubham Goel, Kenan Deng +9
We introduce Amazon Berkeley Objects (ABO), a new large-scale dataset designed to help bridge the gap between real and virtual 3D worlds. ABO contains product catalog images, metad…
RoomStructNet: Learning to Rank Non-Cuboidal Room Layouts From Single View
Xi Zhang, Chun-Kai Wang, Kenan Deng +2
In this paper, we present a new approach to estimate the layout of a room from its single image. While recent approaches for this task use robust features learnt from data, they re…