145 citations · 411 across the 14 of their papers we have counts for
5 papers · 1 filter
DIST: Rendering Deep Implicit Signed Distance Function with Differentiable Sphere Tracing
Shaohui Liu, Yinda Zhang, Songyou Peng +3
We propose a differentiable sphere tracing algorithm to bridge the gap between inverse graphics methods and the recently proposed deep learning based implicit signed distance funct…
Image Inpainting with Learnable Bidirectional Attention Maps
Chaohao Xie, Shaohui Liu, Chao Li +5
Most convolutional network (CNN)-based inpainting methods adopt standard convolution to indistinguishably treat valid pixels and holes, making them limited in handling irregular ho…
Conditional Single-view Shape Generation for Multi-view Stereo Reconstruction
Yi Wei, Shaohui Liu, Wang Zhao +2
In this paper, we present a new perspective towards image-based shape generation. Most existing deep learning based shape reconstruction methods employ a single-view deterministic…
RepPoints: Point Set Representation for Object Detection
Ze Yang, Shaohui Liu, Han Hu +2
Modern object detectors rely heavily on rectangular bounding boxes, such as anchors, proposals and the final predictions, to represent objects at various recognition stages. The bo…
Normalized Diversification
Shaohui Liu, Xiao Zhang, Jianqiao Wangni +1
Generating diverse yet specific data is the goal of the generative adversarial network (GAN), but it suffers from the problem of mode collapse. We introduce the concept of normaliz…