Mango-GS Weights

Pretrained inference weights for Mango-GS. See the paper for the method and evaluation protocol.

Download

Download the repository directly into the public code's weights/ folder:

hf download htx0601/Mango-GS --local-dir weights

Each scene directory contains cfg_args, point_cloud.ply, and deform.pth. The release scripts load these files directly without a checkpoint argument.

Inference Parameters

Dataset	Scenes	T	K	Nodes	Resolution
N3V	coffee_martini, flame_salmon_1	4	3	2048	2
N3V	cook_spinach, cut_roasted_beef, flame_steak, sear_steak	4	5	4096	2
HyperNeRF	broom2, vrig-3dprinter, vrig-chicken	6	3	2048	2
HyperNeRF	vrig-peel-banana	8	3	4096	2

The same machine-readable parameters are provided in manifest.json and in each scene's cfg_args.

Citation

@inproceedings{huang2026mangogs,
  title     = {Mango-GS: Enhancing Spatio-Temporal Consistency in Dynamic Scenes Reconstruction using Multi-Frame Node-Guided 4D Gaussian Splatting},
  author    = {Huang, Tingxuan and Zhu, Haowei and Yong, Jun-hai and Pan, Hao and Wang, Bin},
  booktitle = {International Conference on Learning Representations},
  year      = {2026}
}