9/16/2023 0 Comments Abstract 2d art![]() ![]() The AI was able combine the japanese ukiyo-e style with a Toronto Raptors logo and a photo of Michael Phelps and create something fascinating, unique, and worthy of being displayed.įor me to have the same degree of creative freedom and quality of execution in a brand-new piece of art would cost hundreds in commission and weeks of waiting at the very minimum. The creative tool was incredibly easy to use and allowed me to "commission" one of a kind artwork in a couple minutes and a few clicks. It was a pleasant surprise then to find NightCafe, that not only had a curated selection of AI generated prints but also gave me the opportunity to set the parameters for my own pieces. ![]() The idea of a computer creating something new, artistic, and often beautiful is such a novel concept I thought it would be a good conversation piece to have on the wall. After reading into the OpenAI DALL-E neural net and seeing the creative pieces it was able to manifest I wondered if anywhere was selling AI generated artwork. ![]() The intensive experimental results show that our method achieves better results than recent state-of-the-art approaches qualitatively and quantitatively.I was very pleased with my NightCafe experience. In practice, our framework can extract the style information of a specific character and transfer it to any new static image for talking head animation. We then feed both outputs into a style-aware image generator to generate the photo-realistic and fidelity 2D animation. Our method first produces facial landmarks motion from the audio stream and constructs the intermediate style patterns from the style reference images. Given a set of style reference frames, our framework can reconstruct 2D talking head animation based on a single input image and an audio stream. In this paper, we present a new method to generate talking head animation with learnable style references. Recent works have focused on creating photo-realistic 2D animation, while learning different talking or singing styles remains an open problem. Audio-driven talking head animation is a challenging research topic with many real-world applications. ![]()
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