AvatarFusion: Zero-shot Generation of Clothing-Decoupled 3D Avatars Using 2D Diffusion

Large-scale pre-trained vision-language models allow for the zero-shot text-based generation of 3D avatars. The previous state-of-the-art method utilized CLIP to supervise neural implicit models that reconstructed a human body mesh. However, this approach has two limitations. Firstly, the lack of avatar-specific models can cause facial distortion and unrealistic clothing in the generated avatars. Secondly, CLIP only provides optimization direction for the overall appearance, resulting in less impressive results. To address these limitations, we propose AvatarFusion, the first framework to use a latent diffusion model to provide pixel-level guidance for generating human-realistic avatars while simultaneously segmenting clothing from the avatar's body. AvatarFusion includes the first clothing-decoupled neural implicit avatar model that employs a novel Dual Volume Rendering strategy to render the decoupled skin and clothing sub-models in one space. We also introduce a novel optimization method, called Pixel-Semantics Difference-Sampling (PS-DS), which semantically separates the generation of body and clothes, and generates a variety of clothing styles. Moreover, we establish the first benchmark for zero-shot text-to-avatar generation. Our experimental results demonstrate that our framework outperforms previous approaches, with significant improvements observed in all metrics. Additionally, since our model is clothing-decoupled, we can exchange the clothes of avatars. Code will be available on Github

INFORMATION CONTENT OF FINANCIAL REPORTING AND INFORMATION VALUE OF FINANCIAL NEWS – AN OPINION ANALYTICS APPROACH

This study investigates the impact of the quality of disclosures of financial reports of the listed firms in Taiwan under her first full adoption of International Financial Reporting Standards (IFRS) in 2013. We select the semi-annual reports of firms in the three main industry sectors of high technology, financial service, and biotechnology representing 80% of the capital market in the first year of mandatory adoption. The dictionary of financial reporting is developed according to opinion mining and sentiment analysis. In contrast to prior studies, we explore the gap analytics between financial reporting and financial news to explore whether the disclosure quality is related with the adoption of IFRS. Results are promising and show that the disclosures have relationship with the IFRS first adoption

Augmented Reality Meets Tangibility: A New Approach for Early Childhood Education

Augmented Reality (AR) has been recognised as one of the promising technologies for the gaming industry. In this study, the authors intend to apply AR technology to develop an interactive educational game. This paper presents an AR featured educational game specifically designed for 4-7 years old pre-school children. The principal objective of this game is to enable children to learn various abstract concepts, such as colour mixing, mathematics and 2D-3D geometrical shape recognition. This game allows users to interact with both onscreen (intangible) and physical objects (tangible) at the same time; different interaction forms including the touch screen (click) and AR game (rotate) are designed for better interaction with the real world and learning. This paper focuses on the details of the design and interactive behaviour. Furthermore, beyond the needs of children, this game also serves for parents through the Token Economy method; parents can control the kids’ contacting time with portable devices, and track and modify their everyday learning patterns. A pilot study implementing mix method was used to gather user’s feedback is also described in this paper