Peng Zheng

ZhengPeng7

46 5 12

https://zhengpeng7.github.io

AI & ML interests

None yet

Recent Activity

new activity 14 days ago

ZhengPeng7/BiRefNet:Request for license clarification

updated a model about 1 month ago

ZhengPeng7/BiRefNet-legacy

updated a model about 1 month ago

ZhengPeng7/BiRefNet-COD

View all activity

Organizations

None yet

reacted to fdaudens's post with 🔥 over 1 year ago

Post

1903

MCP just hit a tipping point:
- @hf .co made it dead simple: just type "hf.co/mcp" in your chat. No JSON wrestling, no config files.
- Meanwhile, OpenAI, Google, and Microsoft all adopted it as their standard.

https://huggingface.co/blog/fdaudens/mcp-ai-industry-standard

1 reply

posted an update over 1 year ago

Post

9011

We just released the [BiRefNet_HR]( ZhengPeng7/BiRefNet_HR) for general use on higher resolution images, which was trained with images in 2048x2048. If your images are mostly larger than 1024x1024, use BiRefNet_HR for better results! Thanks to @Freepik for the kind support of H200s for this huge training.

HF Model: ZhengPeng7/BiRefNet_HR.
HF Demo: ZhengPeng7/BiRefNet_demo, where you need to choose General-HR and set high resolution.
PyTorch weights & ONNX: in Google Drive and the GitHub release.

Here is a comparison between the results of the original one and the new HR one on HR inputs:

And, the performance of this new HR one and the previous one trained in 1024x1024 on val set: