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Found 24 papers, 3 papers with code
Beyond 3DMM Space: Towards Fine-grained 3D Face Reconstruction
However, most of their training data is constructed by 3D Morphable Model, whose space spanned is only a small part of the shape space.
Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs
With the rapid development of high-throughput sequencing platforms, an increasing number of omics technologies, such as genomics, metabolomics, and transcriptomics, are being applied to disease genetics research.
Hipandas: Hyperspectral Image Joint Denoising and Super-Resolution by Image Fusion with the Panchromatic Image
Hyperspectral images (HSIs) are frequently noisy and of low resolution due to the constraints of imaging devices.
Revisiting Marr in Face: The Building of 2D--2.5D--3D Representations in Deep Neural Networks
By injecting graphics probes into neural networks, and analyzing their behavior in reconstructing images, we find that DNNs initially encode images as 2D representations in low-level layers, and finally construct 3D representations in high-level layers.
ARM: Appearance Reconstruction Model for Relightable 3D Generation
Recent image-to-3D reconstruction models have greatly advanced geometry generation, but they still struggle to faithfully generate realistic appearance.
Enhanced Credit Score Prediction Using Ensemble Deep Learning Model
In contemporary economic society, credit scores are crucial for every participant.
AR Overlay: Training Image Pose Estimation on Curved Surface in a Synthetic Way
In the field of spatial computing, one of the most essential tasks is the pose estimation of 3D objects.
A Survey on Mixup Augmentations and Beyond
As Deep Neural Networks have achieved thrilling breakthroughs in the past decade, data augmentations have garnered increasing attention as regularization techniques when massive labeled data are unavailable.
Enhancing Healthcare through Large Language Models: A Study on Medical Question Answering
In recent years, the application of Large Language Models (LLMs) in healthcare has shown significant promise in improving the accessibility and dissemination of medical knowledge.
Advanced User Credit Risk Prediction Model using LightGBM, XGBoost and Tabnet with SMOTEENN
In this study, we used a dataset of over 40, 000 records provided by a commercial bank as the research object.
Advanced AI Framework for Enhanced Detection and Assessment of Abdominal Trauma: Integrating 3D Segmentation with 2D CNN and RNN Models
Trauma is a significant cause of mortality and disability, particularly among individuals under forty.
Haar Nuclear Norms with Applications to Remote Sensing Imagery Restoration
Remote sensing image restoration aims to reconstruct missing or corrupted areas within images.
Fine-Tuning Gemma-7B for Enhanced Sentiment Analysis of Financial News Headlines
In this study, we explore the application of sentiment analysis on financial news headlines to understand investor sentiment.
Advanced Payment Security System:XGBoost, LightGBM and SMOTE Integrated
With the rise of various online and mobile payment systems, transaction fraud has become a significant threat to financial security.
Credit Card Fraud Detection Using Advanced Transformer Model
With the proliferation of various online and mobile payment systems, credit card fraud has emerged as a significant threat to financial security.
VR-GS: A Physical Dynamics-Aware Interactive Gaussian Splatting System in Virtual Reality
As consumer Virtual Reality (VR) and Mixed Reality (MR) technologies gain momentum, there's a growing focus on the development of engagements with 3D virtual content.
Gaussian Splashing: Unified Particles for Versatile Motion Synthesis and Rendering
We demonstrate the feasibility of integrating physics-based animations of solids and fluids with 3D Gaussian Splatting (3DGS) to create novel effects in virtual scenes reconstructed using 3DGS.
Seek for Incantations: Towards Accurate Text-to-Image Diffusion Synthesis through Prompt Engineering
The text-to-image synthesis by diffusion models has recently shown remarkable performance in generating high-quality images.
Dynamic landslide susceptibility mapping over recent three decades to uncover variations in landslide causes in subtropical urban mountainous areas
The chosen study area is Lantau Island, Hong Kong, where we conducted a comprehensive dynamic LSA spanning from 1992 to 2019.
Graphics Capsule: Learning Hierarchical 3D Face Representations from 2D Images
The function of constructing the hierarchy of objects is important to the visual process of the human brain.
Beyond 3DMM: Learning to Capture High-fidelity 3D Face Shape
3D Morphable Model (3DMM) fitting has widely benefited face analysis due to its strong 3D priori.
HP-Capsule: Unsupervised Face Part Discovery by Hierarchical Parsing Capsule Network
Capsule networks are designed to present the objects by a set of parts and their relationships, which provide an insight into the procedure of visual perception.
Distributed Frequency Restoration and SoC Balancing Control for AC Microgrids
This paper develops an improved distributed finite-time control algorithm for multiagent-based ac microgrids with battery energy storage systems (BESSs) utilizing a low-width communication network.
Joint analysis of structural connectivity and cortical surface features: correlates with mild traumatic brain injury
We then applied independent component analysis (ICA) both to each PCA space individually and together in a joint ICA approach.
