cunjunyu/STAR

STAR is a respectable academic contribution from ECCV 2020. With over 400 stars and 80 forks, it clearly served as a benchmark in the pedestrian trajectory prediction niche. However, its defensibility is low because it is a static research implementation that has not seen active maintenance (0 velocity). In the fast-moving field of computer vision and robotics, models from 2020 are typically superseded by newer architectures—specifically those utilizing Diffusion Models or more advanced Transformer backbones (e.g., Motion Transformer). While frontier labs like OpenAI are not direct competitors, the robotics industry (Waymo, Cruise, Zoox) has likely integrated or iterated far beyond this specific implementation. Its primary value today is as a baseline for academic comparison or as a structural template for spatio-temporal graph modeling.