Core Viewpoint - Fudan University collaborates with Jieyue Xingchen to launch a new AI photo generation model called WithAnyone, which allows users to generate natural and seamless AI photos by simply uploading a picture [2][4]. Group 1: WithAnyone Overview - WithAnyone is a personalized AI photo generation method that can create various angles and expressions of a person from a single photo, or generate a group photo with multiple individuals without any sense of incongruity [4]. - Previous models like InstantID and PuLID faced limitations in generating varied expressions and angles, often resulting in a "copy-paste" effect [5]. Group 2: Breakthrough Features - WithAnyone breaks the "copy-paste" curse by achieving both ID consistency and controllability [13]. - The model's effectiveness is demonstrated through impressive group photos, showcasing the ability to harmoniously combine multiple individuals in a single image [22]. Group 3: Problem Identification and Solution - The research team identified that existing AI portrait generation methods often resulted in images that were too similar, leading to a lack of diversity in generated outputs [26]. - To quantify this issue, the team introduced MultiID-Bench and a "copy-paste" metric to measure the distance between generated results and reference inputs [27][29]. Group 4: Data and Training Innovations - The team collected a dataset of 500,000 group photos, each with hundreds of different angles and expressions, along with an additional million unpaired photos for training [31]. - The training process involved traditional reconstruction training followed by paired data training and fine-tuning with high-quality data to develop the WithAnyone model [34]. Group 5: Open Source and Community Engagement - WithAnyone has been fully open-sourced, providing access to code, model weights, sample datasets, and evaluation benchmarks to facilitate community replication and expansion [36]. - The project aims to enhance the emotional and narrative quality of AI-generated photos, encouraging users to create personalized images with the technology [36].