Advances in AI-Driven Human Interaction and Media Generation

The field of human-computer interaction and media generation is witnessing significant advancements with the integration of Artificial Intelligence (AI) and machine learning techniques. A notable trend is the development of platforms and models that facilitate diverse and inclusive social interactions, such as the creation of hybrid human-AI societies. Additionally, there is a growing interest in generating high-quality, realistic media, including 3D face editing, garment animation, and 4D avatarization. These innovations have the potential to revolutionize various applications, including virtual reality, social media, and human-computer interaction. Noteworthy papers in this area include AvatarArtist, which proposes a practical training paradigm for open-domain 4D avatarization, and FFaceNeRF, which introduces a NeRF-based face editing technique that overcomes the challenge of limited user control. Furthermore, the development of methods like Shadow Director and DiffusedWrinkles demonstrates the progress being made in intuitive and parametric control of media generation, enabling more accessible and resource-friendly solutions.

Sources

Towards Open Diversity-Aware Social Interactions

FFaceNeRF: Few-shot Face Editing in Neural Radiance Fields

DiffusedWrinkles: A Diffusion-Based Model for Data-Driven Garment Animation

AvatarArtist: Open-Domain 4D Avatarization

Reflections on Diversity: A Real-time Virtual Mirror for Inclusive 3D Face Transformations

Parametric Shadow Control for Portrait Generationin Text-to-Image Diffusion Models

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