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Coarse-to-fine Animal Pose and Shape Estimation: Supplementary Material

Neural Information Processing Systems

We compare our coarse-to-fine approach with the test-time optimization approach. The refinement stage of our approach relies on the output of the coarse estimation stage as an initial point. We test the sensitivity of our model to the first stage results by adding Gaussian noise to the SMAL and camera parameters estimated from the coarse estimation stage, respectively. We show more qualitative results in Figure 1. Table 2: Adding Gaussian noise to the estimated SMAL parameters (a) and camera parameter (b).


Coarse-to-fine Animal Pose and Shape Estimation: Supplementary Material

Neural Information Processing Systems

We compare our coarse-to-fine approach with the test-time optimization approach. The refinement stage of our approach relies on the output of the coarse estimation stage as an initial point. We test the sensitivity of our model to the first stage results by adding Gaussian noise to the SMAL and camera parameters estimated from the coarse estimation stage, respectively. We show more qualitative results in Figure 1. Table 2: Adding Gaussian noise to the estimated SMAL parameters (a) and camera parameter (b).