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metadata
license: other
license_name: vips
license_link: LICENSE
language:
  - en
base_model:
  - Qwen/Qwen3-VL-8B-Instruct
datasets:
  - nyu-visionx/VSI-Bench
tags:
  - vips
  - spatial-understanding
  - video-question-answering
  - visual-priors
  - lora
  - arxiv:2607.15054

Beyond Single Expert: Harmonizing Diverse Visual Priors in MLLMs for Spatial Understanding

NeurIPS 2026

Xiao Lin, Xiaohu Huang, Kai Han

Visual AI Lab, The University of Hong Kong

Paper · Project page · Code

Checkpoints

Location Description
vips/ ViPS checkpoint.
vggt_multihead.pt Prior proxy checkpoint for prior feature extraction.

Download

ViPS requires Qwen3-VL-8B-Instruct. Run these commands from the code repository root:

hf download leeiioolin/ViPS --local-dir checkpoints
hf download Qwen/Qwen3-VL-8B-Instruct --local-dir models/Qwen3-VL-8B-Instruct

See the code README for setup and usage.

Evaluation of the ViPS checkpoint

VSI-Bench results:

Model Overall Obj. Count Abs. Dist. Obj. Size Room Size Rel. Dist. Rel. Dir. Route Plan Appr. Order
ViPS 63.7 69.6 54.7 71.1 72.5 60.1 81.9 45.9 53.6

License

Component License
Original ViPS code and original adapter / fusion-module contributions MIT
Qwen-derived components Apache-2.0
Prior Proxy (vggt_multihead.pt, derived from VGGT-1B) CC BY-NC 4.0 — non-commercial

See LICENSE for attribution, scope, and full terms.

Citation

@article{Lin2026ViPS,
  author  = {Xiao Lin and Xiaohu Huang and Kai Han},
  title   = {Beyond Single Expert: Harmonizing Diverse Visual Priors in MLLMs for Spatial Understanding},
  journal = {arXiv preprint arXiv:2607.15054},
  year    = {2026}
}