xg-chu/UniLSTalkDataset

UniLS-Talk Dataset To enable research on unified speaking and listening avatar generation, we curate and construct the UniLS-Talk Dataset, a large-scale collection of high-quality 3D facial motion data. We apply a carefully designed tracking pipeline to extract per-frame FLAME parameters, including expression coefficients, eye-gaze, jaw pose and head pose annotations. The dataset comprises two complementary parts: Paired conversational data sourced from the Seamless Interaction… See the full description on the dataset page: https://huggingface.co/datasets/xg-chu/UniLSTalkDataset.