ProJo4D: Progressive Joint Optimization for Sparse-View Inverse Physics Estimation
Supplemental Material
Qualitative results on the synthetic Spring-Gaus Dataset
All videos are rendered from novel views and present the full 30-frame sequence.
Each model was trained on the first 20 frames of each 30-frame sequence with only three views.
Sparse-view results on the PAC-NeRF Dataset
All videos are rendered from novel views and present the full 14-frame sequence.
Since this dataset is designed for physical parameter estimation, each model was trained on all 14 frames.
Qualitative results on the real-world Spring-Gaus Dataset