Search Results for author:
Found 13 papers, 3 papers with code
DreamScene: 3D Gaussian-based Text-to-3D Scene Generation via Formation Pattern Sampling
Text-to-3D scene generation holds immense potential for the gaming, film, and architecture sectors.
Sora as an AGI World Model? A Complete Survey on Text-to-Video Generation
Text-to-video generation marks a significant frontier in the rapidly evolving domain of generative AI, integrating advancements in text-to-image synthesis, video captioning, and text-guided editing.
APT-Pipe: A Prompt-Tuning Tool for Social Data Annotation using ChatGPT
To address this, there has been a flurry of research into prompt tuning -- techniques and guidelines that attempt to improve the quality of prompts.
A Survey on Segment Anything Model (SAM): Vision Foundation Model Meets Prompt Engineering
This is an ongoing project and we intend to update the manuscript on a regular basis.
Generative AI meets 3D: A Survey on Text-to-3D in AIGC Era
AI generated content) has made remarkable progress in the past few years, among which text-guided content generation is the most practical one since it enables the interaction between human instruction and AIGC.
Towards AI-Architecture Liberty: A Comprehensive Survey on Designing and Collaborating Virtual Architecture by Deep Learning in the Metaverse
This survey investigates the latest approaches to 3D object generation with deep generative models (DGMs) and summarizes four characteristics of deep-learning generation approaches for virtual architecture.
One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Era
Overall, this work is the first to survey ChatGPT with a comprehensive review of its underlying technology, applications, and challenges.
A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need?
As ChatGPT goes viral, generative AI (AIGC, a. k. a AI-generated content) has made headlines everywhere because of its ability to analyze and create text, images, and beyond.
Federated Split GANs
Mobile devices and the immense amount and variety of data they generate are key enablers of machine learning (ML)-based applications.
Twitter Dataset for 2022 Russo-Ukrainian Crisis
Such information sharing campaigns can range from spreading factual information to propaganda and misinformation.
Towards User-Centered Metrics for Trustworthy AI in Immersive Cyberspace
AI plays a key role in current cyberspace and future immersive ecosystems that pinpoint user experiences.
When Creators Meet the Metaverse: A Survey on Computational Arts
The metaverse, enormous virtual-physical cyberspace, has brought unprecedented opportunities for artists to blend every corner of our physical surroundings with digital creativity.
Mobile Augmented Reality: User Interfaces, Frameworks, and Intelligence
Mobile Augmented Reality (MAR) integrates computer-generated virtual objects with physical environments for mobile devices.
