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Running on Zero
| title: VIEW2SPACE-4B | |
| emoji: 👁 | |
| colorFrom: pink | |
| colorTo: purple | |
| sdk: gradio | |
| sdk_version: 6.19.0 | |
| app_file: app.py | |
| short_description: Multi-view visual reasoning VLM based on Qwen3-VL 4B | |
| python_version: "3.12" | |
| startup_duration_timeout: 30m | |
| # VIEW2SPACE-4B Demo | |
| A Gradio demo for [Pokerme/view2space_4b](https://huggingface.co/Pokerme/view2space_4b), | |
| a 4.4B-parameter vision-language model based on Qwen3-VL that performs multi-view | |
| visual reasoning from sparse observations. | |
| ## Usage | |
| Upload one or more images and type a question. The model integrates information | |
| across all provided views to produce an answer. Examples include counting objects, | |
| describing scenes, detecting regions, and answering multiple-choice spatial | |
| reasoning questions. | |
| ## Reference | |
| - **Paper**: [VIEW2SPACE: Studying Multi-View Visual Reasoning from Sparse Observations](http://arxiv.org/abs/2603.16506) (ECCV 2026) | |
| - **Code**: [github.com/pokerme7777/VIEW2SPACE](https://github.com/pokerme7777/VIEW2SPACE) |