Papers Unity
“Unity” 태그가 달린 논문 378편 · 필터 해제
PANGeA: Procedural Artificial Narrative using Generative AI for Turn-Based Video Games
This research introduces Procedural Artificial Narrative using Generative AI (PANGeA), a structured approach for leveraging large language models (LLMs), guided by a game designer's high-level criteria, to generate narra…
Game DesignUnityWheelPose: Data Synthesis Techniques to Improve Pose Estimation Performance on Wheelchair Users
Existing pose estimation models perform poorly on wheelchair users due to a lack of representation in training data. We present a data synthesis pipeline to address this disparity in data collection and subsequently impr…
DiversityHuman DetectionMotion GenerationPose Estimation+1The N-Gene Model for Evolutionary Games
In this study, we develop a novel evolutionary model that incorporates Mendelian genetics, continuous strategies, and the potential for multiple genes to contribute to a single phenotypic trait. The evolution of altruist…
modelUnityWROOM: An Autonomous Driving Approach for Off-Road Navigation
Off-road navigation is a challenging problem both at the planning level to get a smooth trajectory and at the control level to avoid flipping over, hitting obstacles, or getting stuck at a rough patch. There have been se…
Autonomous DrivingReinforcement Learning (RL)Trajectory PlanningUnityA Novel Approach to Breast Cancer Histopathological Image Classification Using Cross-Colour Space Feature Fusion and Quantum-Classical Stack Ensemble Method
Breast cancer classification stands as a pivotal pillar in ensuring timely diagnosis and effective treatment. This study with histopathological images underscores the profound significance of harnessing the synergistic c…
Cancer ClassificationClassificationDiagnosticHistopathological Image Classification+3The Artificial Neural Twin -- Process Optimization and Continual Learning in Distributed Process Chains
Industrial process optimization and control is crucial to increase economic and ecologic efficiency. However, data sovereignty, differing goals, or the required expert knowledge for implementation impede holistic impleme…
Continual LearningModel Predictive ControlUnityRealtime Robust Shape Estimation of Deformable Linear Object
Realtime shape estimation of continuum objects and manipulators is essential for developing accurate planning and control paradigms. The existing methods that create dense point clouds from camera images, and/or use dist…
ObjectUnityThemeStation: Generating Theme-Aware 3D Assets from Few Exemplars
Real-world applications often require a large gallery of 3D assets that share a consistent theme. While remarkable advances have been made in general 3D content creation from text or image, synthesizing customized 3D ass…
3D GenerationDiversityUnityDen-SOFT: Dense Space-Oriented Light Field DataseT for 6-DOF Immersive Experience
We have built a custom mobile multi-camera large-space dense light field capture system, which provides a series of high-quality and sufficiently dense light field images for various scenarios. Our aim is to contribute t…
3DGS3D Reconstruction3D Scene ReconstructionNeRF+1Unity by Diversity: Improved Representation Learning in Multimodal VAEs
Variational Autoencoders for multimodal data hold promise for many tasks in data analysis, such as representation learning, conditional generation, and imputation. Current architectures either share the encoder output, d…
DecoderDiversityImputationMixture-of-Experts+2Enhanced DareFightingICE Competitions: Sound Design and AI Competitions
This paper presents a new and improved DareFightingICE platform, a fighting game platform with a focus on visually impaired players (VIPs), in the Unity game engine. It also introduces the separation of the DareFightingI…
UnityBring Your Own Character: A Holistic Solution for Automatic Facial Animation Generation of Customized Characters
Animating virtual characters has always been a fundamental research problem in virtual reality (VR). Facial animations play a crucial role as they effectively convey emotions and attitudes of virtual humans. However, cre…
UnityOn Automating Video Game Regression Testing by Planning and Learning
In this paper, we propose a method and workflow for automating regression testing of certain video game aspects using automated planning and incremental action model learning techniques. The basic idea is to use detailed…
regressionUnityImproving Pallet Detection Using Synthetic Data
The use of synthetic data in machine learning saves a significant amount of time when implementing an effective object detector. However, there is limited research in this domain. This study aims to improve upon previous…
Instance SegmentationSemantic SegmentationUnityRe-Envisioning Command and Control
Future warfare will require Command and Control (C2) decision-making to occur in more complex, fast-paced, ill-structured, and demanding conditions. C2 will be further complicated by operational challenges such as Denied…
Decision MakingUnityA Physiological Sensor-Based Android Application Synchronized with a Driving Simulator for Driver Monitoring
In this paper, we present an Android application to control and monitor the physiological sensors from the Shimmer platform and its synchronized working with a driving simulator. The Android app can monitor drivers and t…
RelationUnityA comparison of RL-based and PID controllers for 6-DOF swimming robots: hybrid underwater object tracking
In this paper, we present an exploration and assessment of employing a centralized deep Q-network (DQN) controller as a substitute for the prevalent use of PID controllers in the context of 6DOF swimming robots. Our prim…
Object TrackingSafe ExplorationUnityA novel ANROA based control approach for grid-tied multi-functional solar energy conversion system
An adaptive control approach for a three-phase grid-interfaced solar photovoltaic system based on the new Neuro-Fuzzy Inference System with Rain Optimization Algorithm (ANROA) methodology is proposed and discussed in thi…
UnityN-Adaptive Ritz Method: A Neural Network Enriched Partition of Unity for Boundary Value Problems
Conventional finite element methods are known to be tedious in adaptive refinements due to their conformal regularity requirements. Further, the enrichment functions for adaptive refinements are often not readily availab…
Transfer LearningUnityRobust Estimation in Network Vector Autoregression with Nonstationary Regressors
This article studies identification and estimation for the network vector autoregressive model with nonstationary regressors. In particular, network dependence is characterized by a nonstochastic adjacency matrix. The in…
Time SeriesUnity