26 citations · 124 across the 14 of their papers we have counts for
10 papers · 1 filter
Generative Head-Mounted Camera Captures for Photorealistic Avatars
Shaojie Bai, Seunghyeon Seo, Yida Wang +8
Enabling photorealistic avatar animations in virtual and augmented reality (VR/AR) has been challenging because of the difficulty of obtaining ground truth state of faces. It is ph…
RaNeuS: Ray-adaptive Neural Surface Reconstruction
Yida Wang, David Joseph Tan, Nassir Navab +1
Our objective is to leverage a differentiable radiance field \eg NeRF to reconstruct detailed 3D surfaces in addition to producing the standard novel view renderings. There have be…
Lidar Upsampling with Sliced Wasserstein Distance
Artem Savkin, Yida Wang, Sebastian Wirkert +2
Lidar became an important component of the perception systems in autonomous driving. But challenges of training data acquisition and annotation made emphasized the role of the sens…
SoftPool++: An Encoder-Decoder Network for Point Cloud Completion
Yida Wang, David Joseph Tan, Nassir Navab +1
We propose a novel convolutional operator for the task of point cloud completion. One striking characteristic of our approach is that, conversely to related work it does not requir…
Learning Local Displacements for Point Cloud Completion
Yida Wang, David Joseph Tan, Nassir Navab +1
We propose a novel approach aimed at object and semantic scene completion from a partial scan represented as a 3D point cloud. Our architecture relies on three novel layers that ar…
From 2D to 3D: Re-thinking Benchmarking of Monocular Depth Prediction
Evin Pınar Örnek, Shristi Mudgal, Johanna Wald +3
There have been numerous recently proposed methods for monocular depth prediction (MDP) coupled with the equally rapid evolution of benchmarking tools. However, we argue that MDP i…
SoftPoolNet: Shape Descriptor for Point Cloud Completion and Classification
Yida Wang, David Joseph Tan, Nassir Navab +1
Point clouds are often the default choice for many applications as they exhibit more flexibility and efficiency than volumetric data. Nevertheless, their unorganized nature -- poin…
ForkNet: Multi-branch Volumetric Semantic Completion from a Single Depth Image
Yida Wang, David Joseph Tan, Nassir Navab +1
We propose a novel model for 3D semantic completion from a single depth image, based on a single encoder and three separate generators used to reconstruct different geometric and s…
Adversarial Semantic Scene Completion from a Single Depth Image
Yida Wang, David Joseph Tan, Nassir Navab +1
We propose a method to reconstruct, complete and semantically label a 3D scene from a single input depth image. We improve the accuracy of the regressed semantic 3D maps by a novel…
Generative Model with Coordinate Metric Learning for Object Recognition Based on 3D Models
Yida Wang, Weihong Deng
Given large amount of real photos for training, Convolutional neural network shows excellent performance on object recognition tasks. However, the process of collecting data is so…