Edward specializes in technical art, computer graphics and digital interaction design. His work spans across technical and creative fields, integrating AI, VR/AR development, and multimedia design to deliver innovative experiences. He is driven by a passion for storytelling exercised through interdisciplinary work that bridges art and technology.
This article details the creative and technical workflow behind the digital adaptation of a pivotal scene from The Odyssey, where Odysseus returns to Ithaca. The project explores the transformation of a literary moment into a visually immersive 3D render, utilizing modern computer graphics tools and techniques.
In current VR systems, achieving realistic and intuitive interactions between the user and virtual objects is a significant challenge due to the disconnect between the virtual and real world. We seek to overcome this challenge by creating a physics-based, free-hand grasping model in Unreal Engine to make grasping virtual objects a more natural user experience in VR.
A case study on the design process of a new feature for Spotify, focusing on enhancing music discoverability. This case study delves into the end-to-end design process of developing a new feature for Spotify aimed at enhancing music discoverability for users. The project explores the challenges and opportunities associated with helping users uncover new music tailored to their tastes, using a blend of user-centered design principles, data analysis, and iterative prototyping.
This article examines the power of AI-driven image generation using Stable Diffusion models in Python. Stable Diffusion,a cutting-edge technique in AI art, allows for the creation of complex, high-quality images by leveraging a controlled diffusion process to iteratively enhance noise into coherent visuals. In this article, we’ll explore the core principles behind Stable Diffusion, breaking down the model’s architecture and the unique approach it takes to generate visually appealing and diverse outputs.
