Review for NeurIPS paper: Online Adaptation for Consistent Mesh Reconstruction in the Wild

Weaknesses: (Validation of novelty) Leveraging texture and shape consistency for online refinement has been used in prior literature, e.g., [3, 4] in a different context and application. I believe the most significant contribution is the way texture and shape invariance is applied, i.e., swapping pose and texture across time to enforce consistency. However, its novelty is not empirically validated at all, i.e., why is this design choice reasonable and better than the existing idea. For instance, they argue that their idea can address blurry texture and low res shape while the results look blurred and low res anyway. Without rigorous ablation study in isolation, it is not clear how the core novelty makes an impact.