2.5k citations · 2.7k across the 19 of their papers we have counts for
19 papers
StructNeRF: Neural Radiance Fields for Indoor Scenes with Structural Hints
Zheng Chen, Chen Wang, Yuan-Chen Guo +1
Neural Radiance Fields (NeRF) achieve photo-realistic view synthesis with densely captured input images. However, the geometry of NeRF is extremely under-constrained given sparse v…
DeepPortraitDrawing: Generating Human Body Images from Freehand Sketches
Xian Wu, Chen Wang, Hongbo Fu +3
Researchers have explored various ways to generate realistic images from freehand sketches, e.g., for objects and human faces. However, how to generate realistic human body images…
On Rotation Gains Within and Beyond Perceptual Limitations for Seated VR
Chen Wang, Song-Hai Zhang, Yizhuo Zhang +2
Head tracking in head-mounted displays (HMDs) enables users to explore a 360-degree virtual scene with free head movements. However, for seated use of HMDs such as users sitting on…
Enhancing Multi-Scale Implicit Learning in Image Super-Resolution with Integrated Positional Encoding
Ying-Tian Liu, Yuan-Chen Guo, Song-Hai Zhang
Is the center position fully capable of representing a pixel? There is nothing wrong to represent pixels with their centers in a discrete image representation, but it makes more se…
NeRF-SR: High-Quality Neural Radiance Fields using Supersampling
Chen Wang, Xian Wu, Yuan-Chen Guo +3
We present NeRF-SR, a solution for high-resolution (HR) novel view synthesis with mostly low-resolution (LR) inputs. Our method is built upon Neural Radiance Fields (NeRF) that pre…
Attention Mechanisms in Computer Vision: A Survey
Meng-Hao Guo, Tian-Xing Xu, Jiang-Jiang Liu +7
Humans can naturally and effectively find salient regions in complex scenes. Motivated by this observation, attention mechanisms were introduced into computer vision with the aim o…
NeRFReN: Neural Radiance Fields with Reflections
Yuan-Chen Guo, Di Kang, Linchao Bao +2
Neural Radiance Fields (NeRF) has achieved unprecedented view synthesis quality using coordinate-based neural scene representations. However, NeRF's view dependency can only handle…
Deep Image Synthesis from Intuitive User Input: A Review and Perspectives
Yuan Xue, Yuan-Chen Guo, Han Zhang +3
In many applications of computer graphics, art and design, it is desirable for a user to provide intuitive non-image input, such as text, sketch, stroke, graph or layout, and have…
Learning Implicit Glyph Shape Representation
Ying-Tian Liu, Yuan-Chen Guo, Yi-Xiao Li +2
In this paper, we present a novel implicit glyph shape representation, which models glyphs as shape primitives enclosed by quadratic curves, and naturally enables generating glyph…
Sketch2Model: View-Aware 3D Modeling from Single Free-Hand Sketches
Song-Hai Zhang, Yuan-Chen Guo, Qing-Wen Gu
We investigate the problem of generating 3D meshes from single free-hand sketches, aiming at fast 3D modeling for novice users. It can be regarded as a single-view reconstruction p…
TransLoc3D : Point Cloud based Large-scale Place Recognition using Adaptive Receptive Fields
Tian-Xing Xu, Yuan-Chen Guo, Zhiqiang Li +3
Place recognition plays an essential role in the field of autonomous driving and robot navigation. Point cloud based methods mainly focus on extracting global descriptors from loca…
Style-compatible Object Recommendation for Multi-room Indoor Scene Synthesis
Yu He, Yun Cai, Yuan-Chen Guo +5
Traditional indoor scene synthesis methods often take a two-step approach: object selection and object arrangement. Current state-of-the-art object selection approaches are based o…
Fast 3D Indoor Scene Synthesis with Discrete and Exact Layout Pattern Extraction
Song-Hai Zhang, Shao-Kui Zhang, Wei-Yu Xie +2
We present a fast framework for indoor scene synthesis, given a room geometry and a list of objects with learnt priors. Unlike existing data-driven solutions, which often extract p…
Example-Guided Style Consistent Image Synthesis from Semantic Labeling
Miao Wang, Guo-Ye Yang, Ruilong Li +4
Example-guided image synthesis aims to synthesize an image from a semantic label map and an exemplary image indicating style. We use the term "style" in this problem to refer to im…
What and Where: A Context-based Recommendation System for Object Insertion
Song-Hai Zhang, Zhengping Zhou, Bin Liu +4
In this work, we propose a novel topic consisting of two dual tasks: 1) given a scene, recommend objects to insert, 2) given an object category, retrieve suitable background scenes…
LineNet: a Zoomable CNN for Crowdsourced High Definition Maps Modeling in Urban Environments
Dun Liang, Yuanchen Guo, Shaokui Zhang +4
High Definition (HD) maps play an important role in modern traffic scenes. However, the development of HD maps coverage grows slowly because of the cost limitation. To efficiently…
Pose2Seg: Detection Free Human Instance Segmentation
Song-Hai Zhang, Ruilong Li, Xin Dong +6
The standard approach to image instance segmentation is to perform the object detection first, and then segment the object from the detection bounding-box. More recently, deep lear…
Deep Online Video Stabilization
Miao Wang, Guo-Ye Yang, Jin-Kun Lin +4
Video stabilization technique is essential for most hand-held captured videos due to high-frequency shakes. Several 2D-, 2.5D- and 3D-based stabilization techniques are well studie…
A Comparative Study of Algorithms for Realtime Panoramic Video Blending
Zhe Zhu, Jiaming Lu, Minxuan Wang +4
Unlike image blending algorithms, video blending algorithms have been little studied. In this paper, we investigate 6 popular blending algorithms---feather blending, multi-band ble…