A lifelike talking head requires synchronized coordination of subject identity, lip movements, facial expressions, and head poses.
In this paper, we explore a new framework of learning a world model, OccWorld, in the 3D Occupancy space to simultaneously predict the movement of the ego car and the evolution of the surrounding scenes.
1) We propose four architectural guidelines for designing large-kernel ConvNets, the core of which is to exploit the essential characteristics of large kernels that distinguish them from small kernels - they can see wide without going deep.
Ranked #1 on Object Detection on COCO 2017 (mAP metric)
Current VLMs, while proficient in tasks like image captioning and visual question answering, face computational burdens when processing long videos due to the excessive visual tokens.
Our study centers on the evaluation of GPT-4's linguistic and visual capabilities in zero-shot visual recognition tasks.
Overall, our method can create lifelike avatars with dynamic, realistic and generalized appearances.