Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Typical approaches to articulated pose estimation combine spatial modelling of the human body with appearance modelling of body parts.  aims to push the state-of-the-art in articulated pose estimation in two ways. First  explore various types of appearance representations aiming to substantially improve the body part hypotheses. And second,  draw on and combine several recently proposed porful ideas such as more flexible spatial models as ll as image-conditioned spatial models. In a series of experiments  draw several important conclusions: (1)  show that the proposed appearance representations are complementary, (2)  demonstrate that even a basic tree-structure spatial human body model achieves state-of-the-art performance when augmented with the proper appearance representation, and (3)  show that the combination of the best performing appearance model with a flexible image-conditioned spatial model achieves the best result, significantly improving over the state of the art, on the ``Leeds Sports Poses'' and ``Parse'' benchmarks.
['Leonid Pishchulin', 'Mykhaylo Andriluka', 'Peter V. Gehler', 'Bernt Schiele']
I am writing a research paper on a idea Strong Appearance and Expressive Spatial Models for Human Pose Estimation
[{"from": "human", "value": "I am writing a research paper on a idea Strong Appearance and Expressive Spatial Models for Human Pose Estimation"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Typical approaches to articulated pose estimation combine spatial modelling of the human body with appearance modelling of body parts.  aims to push the state-of-the-art in articulated pose estimation in two ways. First  explore various types of appearance representations aiming to substantially improve the body part hypotheses. And second,  draw on and combine several recently proposed porful ideas such as more flexible spatial models as ll as image-conditioned spatial models. In a series of experiments  draw several important conclusions: (1)  show that the proposed appearance representations are complementary, (2)  demonstrate that even a basic tree-structure spatial human body model achieves state-of-the-art performance when augmented with the proper appearance representation, and (3)  show that the combination of the best performing appearance model with a flexible image-conditioned spatial model achieves the best result, significantly improving over the state of the art, on the ``Leeds Sports Poses'' and ``Parse'' benchmarks."}]