This supplementary zip archive (EG2025-KappelEtAl-Supp_CRC) encompasses the following additional resources:

- "supplemental.pdf" offers an in-depth exploration of our model's configuration, comprehensive per-scene metric evaluations, and a series of additional experimental results.

- "comparisons.mp4" provides a comparative analysis against multiple benchmark methodologies on test sets from the iPhone dataset.
It further contains comparisons against DynIBaR on their evaluation protocol of the NVIDIA dynamic scenes dataset.

- The "results" directory comprises novel view renderings of various scenes from iPhone and (high-resolution) DAVIS dataset.
For the DAVIS sequences, we also include isolated renderings of the static background, as shown in the paper.
To demonstrate the applicability to in-the-wild casual video, we also present results for two video clips of renowned sports climbers (Woods, Megos) sourced from their public social media channels. 
For these sequences, we additionally provide the preprocessed ground truth training video for reference.

- The "results_3d" directory contains stereoscopic 3D anaglyph renderings. These renderings are intended for viewing with red-cyan glasses.

- "gui_live_capture" encompasses video recordings of our graphical user interface (GUI), illustrating its interactivity and showcasing more pronounced camera displacements, which are typically absent in related literature.
Additionally, we include video recordings of live GUI exploration during the optimization process of a scene from the NVIDIA dataset.
Although concurrent optimization and live rendering considerably reduce the framerate, these recordings offer valuable insights into the convergence behavior.