41-Issue 7
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Pacific Graphics 2022 - Symposium Proceedings
Kyoto, Japan | October 5 – 8, 2022
(for Short Papers, Posters, and Work-in-Progress Papers see PG 2022 - Short Papers, Posters, and Work-in-Progress Papers)
Curves and Meshes
Out-of-core Extraction of Curve Skeletons for Large Volumetric Models
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Point-augmented Bi-cubic Subdivision Surfaces
SIGDT: 2D Curve Reconstruction
MeshFormer: High-resolution Mesh Segmentation with Graph Transformer
WTFM Layer: An Effective Map Extractor for Unsupervised Shape Correspondence
Point Cloud Processing and Dataset Generation
MINERVAS: Massive INterior EnviRonments VirtuAl Synthesis
Exploring Contextual Relationships in 3D Cloud Points by Semantic Knowledge Mining
UTOPIC: Uncertainty-aware Overlap Prediction Network for Partial Point Cloud Registration
Local Offset Point Cloud Transformer Based Implicit Surface Reconstruction
MODNet: Multi-offset Point Cloud Denoising Network Customized for Multi-scale Patches
Point Cloud Generation
Resolution-switchable 3D Semantic Scene Completion
DiffusionPointLabel: Annotated Point Cloud Generation with Diffusion Model
USTNet: Unsupervised Shape-to-Shape Translation via Disentangled Representations
SPCNet: Stepwise Point Cloud Completion Network
Video
StylePortraitVideo: Editing Portrait Videos with Expression Optimization
Real-Time Video Deblurring via Lightweight Motion Compensation
A Drone Video Clip Dataset and its Applications in Automated Cinematography
Fast Geometric Computation
Occluder Generation for Buildings in Digital Games
Efficient Direct Isosurface Rasterization of Scalar Volumes
Fine-Grained Memory Profiling of GPGPU Kernels
Rendering - Sampling
Classifier Guided Temporal Supersampling for Real-time Rendering
Specular Manifold Bisection Sampling for Caustics Rendering
Multirate Shading with Piecewise Interpolatory Approximation
Rendering - Modeling Nature and Material
Real-time Deep Radiance Reconstruction from Imperfect Caches
Real-Time Rendering of Eclipses without Incorporation of Atmospheric Effects
A Wide Spectral Range Sky Radiance Model
Targeting Shape and Material in Lighting Design
Image Enhancement
Ref-ZSSR: Zero-Shot Single Image Superresolution with Reference Image
Learning Multi-Scale Deep Image Prior for High-Quality Unsupervised Image Denoising
Contrastive Semantic-Guided Image Smoothing Network
Image Detection and Understanding
Effective Eyebrow Matting with Domain Adaptation
Fine-Grained Scene Graph Generation with Overlap Region and Geometrical Center
SO(3)-Pose: SO(3)-Equivariance Learning for 6D Object Pose Estimation
Joint Hand and Object Pose Estimation from a Single RGB Image using High-level 2D
Constraints
Image Synthesis
User-Controllable Latent Transformer for StyleGAN Image Layout Editing
EL-GAN: Edge-Enhanced Generative Adversarial Network for Layout-to-Image Generation
Abstract Painting Synthesis via Decremental optimization
Generative Deformable Radiance Fields for Disentangled Image Synthesis of Topology-Varying
Objects
Image Restoration
Semi-MoreGAN: Semi-supervised Generative Adversarial Network for Mixture of Rain Removal
Depth-Aware Shadow Removal
TogetherNet: Bridging Image Restoration and Object Detection Together via Dynamic
Enhancement Learning
Stylization and Texture
Color-mapped Noise Vector Fields for Generating Procedural Micro-patterns
Pixel Art Adaptation for Handicraft Fabrication
Shape-Guided Mixed Metro Map Layout
Efficient Texture Parameterization Driven by Perceptual-Loss-on-Screen
MoMaS: Mold Manifold Simulation for Real-time Procedural Texturing
Physics Simulation and Optimization
Large-Scale Worst-Case Topology Optimization
Spatio-temporal Keyframe Control of Traffic Simulation using Coarse-to-Fine Optimization
NSTO: Neural Synthesizing Topology Optimization for Modulated Structure Generation
Efficient and Stable Simulation of Inextensible Cosserat Rods by a Compact Representation
Perception and Visualization
Learning 3D Shape Aesthetics Globally and Locally
Eye-Tracking-Based Prediction of User Experience in VR Locomotion Using Machine Learning
Digital Human
Implicit Neural Deformation for Sparse-View Face Reconstruction
Learning Dynamic 3D Geometry and Texture for Video Face Swapping
BareSkinNet: De-makeup and De-lighting via 3D Face Reconstruction
ShadowPatch: Shadow Based Segmentation for Reliable Depth Discontinuities in Photometric
Stereo
Recent Submissions
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ShadowPatch: Shadow Based Segmentation for Reliable Depth Discontinuities in Photometric Stereo
(The Eurographics Association and John Wiley & Sons Ltd., 2022)Photometric stereo is a well-established method with outstanding traits to recover surface details and material properties, like surface albedo or even specularity. However, while the surface is locally well-defined, ... -
BareSkinNet: De-makeup and De-lighting via 3D Face Reconstruction
(The Eurographics Association and John Wiley & Sons Ltd., 2022)We propose BareSkinNet, a novel method that simultaneously removes makeup and lighting influences from the face image. Our method leverages a 3D morphable model and does not require a reference clean face image or a specified ... -
Learning Dynamic 3D Geometry and Texture for Video Face Swapping
(The Eurographics Association and John Wiley & Sons Ltd., 2022)Face swapping is the process of applying a source actor's appearance to a target actor's performance in a video. This is a challenging visual effect that has seen increasing demand in film and television production. Recent ... -
Implicit Neural Deformation for Sparse-View Face Reconstruction
(The Eurographics Association and John Wiley & Sons Ltd., 2022)In this work, we present a new method for 3D face reconstruction from sparse-view RGB images. Unlike previous methods which are built upon 3D morphable models (3DMMs) with limited details, we leverage an implicit representation ... -
Learning 3D Shape Aesthetics Globally and Locally
(The Eurographics Association and John Wiley & Sons Ltd., 2022)There exist previous works in computing the visual aesthetics of 3D shapes ''globally'', where the term global means that shape aesthetics data are collected for whole 3D shapes and then used to compute the aesthetics of ... -
Eye-Tracking-Based Prediction of User Experience in VR Locomotion Using Machine Learning
(The Eurographics Association and John Wiley & Sons Ltd., 2022)VR locomotion is one of the most important design features of VR applications and is widely studied. When evaluating locomotion techniques, user experience is usually the first consideration, as it provides direct insights ... -
Efficient and Stable Simulation of Inextensible Cosserat Rods by a Compact Representation
(The Eurographics Association and John Wiley & Sons Ltd., 2022)Piecewise linear inextensible Cosserat rods are usually represented by Cartesian coordinates of vertices and quaternions on the segments. Such representations use excessive degrees of freedom (DOFs), and need many additional ... -
NSTO: Neural Synthesizing Topology Optimization for Modulated Structure Generation
(The Eurographics Association and John Wiley & Sons Ltd., 2022)Nature evolves structures like honeycombs at optimized performance with limited material. These efficient structures can be artificially created with the collaboration of structural topology optimization and additive ... -
Spatio-temporal Keyframe Control of Traffic Simulation using Coarse-to-Fine Optimization
(The Eurographics Association and John Wiley & Sons Ltd., 2022)We present a novel traffic trajectory editing method which uses spatio-temporal keyframes to control vehicles during the simulation to generate desired traffic trajectories. By taking self-motivation, path following and ... -
Large-Scale Worst-Case Topology Optimization
(The Eurographics Association and John Wiley & Sons Ltd., 2022)We propose a novel topology optimization method to efficiently minimize the maximum compliance for a high-resolution model bearing uncertain external loads. Central to this approach is a modified power method that can ... -
MoMaS: Mold Manifold Simulation for Real-time Procedural Texturing
(The Eurographics Association and John Wiley & Sons Ltd., 2022)The slime mold algorithm has recently been under the spotlight thanks to its compelling properties studied across many disciplines like biology, computation theory, and artificial intelligence. However, existing implementations ... -
Pixel Art Adaptation for Handicraft Fabrication
(The Eurographics Association and John Wiley & Sons Ltd., 2022)Knitting and weaving patterns can be visually represented as pixel art. With hand knitting and weaving, human error (shifting, duplicating, or skipping pixels) can occur during manual fabrication. It is too costly to change ... -
Efficient Texture Parameterization Driven by Perceptual-Loss-on-Screen
(The Eurographics Association and John Wiley & Sons Ltd., 2022)Texture mapping is a ubiquitous technique to enrich the visual effect of a mesh, which represents the desired signal (e.g. diffuse color) on the mesh to a texture image discretized by pixels through a bijective parameterization. ... -
Shape-Guided Mixed Metro Map Layout
(The Eurographics Association and John Wiley & Sons Ltd., 2022)Metro or transit maps, are schematic representations of transit networks to facilitate effective route-finding. These maps are often advertised on a web page or pamphlet highlighting routes from source to destination ... -
Color-mapped Noise Vector Fields for Generating Procedural Micro-patterns
(The Eurographics Association and John Wiley & Sons Ltd., 2022)Stochastic micro-patterns successfully enhance the realism of virtual scenes. Procedural models using noise combined with transfer functions are extremely efficient. However, most patterns produced today employ 1D transfer ... -
Depth-Aware Shadow Removal
(The Eurographics Association and John Wiley & Sons Ltd., 2022)Shadow removal from a single image is an ill-posed problem because shadow generation is affected by the complex interactions of geometry, albedo, and illumination. Most recent deep learning-based methods try to directly ... -
TogetherNet: Bridging Image Restoration and Object Detection Together via Dynamic Enhancement Learning
(The Eurographics Association and John Wiley & Sons Ltd., 2022)Adverse weather conditions such as haze, rain, and snow often impair the quality of captured images, causing detection networks trained on normal images to generalize poorly in these scenarios. In this paper, we raise an ... -
Generative Deformable Radiance Fields for Disentangled Image Synthesis of Topology-Varying Objects
(The Eurographics Association and John Wiley & Sons Ltd., 2022)3D-aware generative models have demonstrated their superb performance to generate 3D neural radiance fields (NeRF) from a collection of monocular 2D images even for topology-varying object categories. However, these methods ... -
Semi-MoreGAN: Semi-supervised Generative Adversarial Network for Mixture of Rain Removal
(The Eurographics Association and John Wiley & Sons Ltd., 2022)Real-world rain is a mixture of rain streaks and rainy haze. However, current efforts formulate image rain streaks removal and rainy haze removal as separated models, worsening the loss of image details. This paper attempts ... -
Abstract Painting Synthesis via Decremental optimization
(The Eurographics Association and John Wiley & Sons Ltd., 2022)Existing stroke-based painting synthesis methods usually fail to achieve good results with limited strokes because these methods use semantically irrelevant metrics to calculate the similarity between the painting and photo ...
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