Spaces:
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on
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Apply for community grant: Academic project (gpu)
Project Name: CAMP-VQA: Caption-Embedded Multimodal Perception for No-Reference Quality Assessment of Compressed Video
Project Type: Academic Research Project
Project Background:
The CAMP-VQA project is publicly available on GitHub and has received positive attention. Our paper was accepted by the IEEE/CVF Winter Conference on Applications of Computer Vision 2026. (WACV 2026).
🔗 GitHub: https://github.com/xinyiW915/CAMP-VQA
CAMP-VQA is our new model that enhances video quality assessment by infusing semantic and perceptual cues without manual fine-grained annotation. The project is fully open-sourced.
Why We Need GPU:
The current CPU-based demo on Spaces (2 vCPU, 16 GB RAM) is significantly limited in performance, especially with high-resolution videos.
CAMP-VQA relies on deep learning inference across multiple video frames, which is computationally intensive and slow without a GPU.
With GPU support, we can greatly improve user experience and enable more extensive testing.
Open Source: Yes — both the code and demo are open-sourced.
🔗 Demo Link: https://huggingface.co/spaces/xinyiW915/CAMP-VQA
We kindly request GPU access through the ZeroGPU grant program to help us. Thank you for your support! 🙏
Hi
@xinyiW915
, we've assigned ZeroGPU to this Space. Please check the compatibility and usage sections of this page so your Space can run on ZeroGPU.
If you can, we ask that you upgrade to Pro ($9/month) to enjoy higher ZeroGPU quota and other features like Dev Mode, Private Storage, and more: hf.co/pro