Qwen/Qwen2.5-32B
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Ismael
IsmaelMousa
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ššš New Research Alert - Portrait4D-v2 (Avatars Collection)! ššš
š Title: Portrait4D-v2: Pseudo Multi-View Data Creates Better 4D Head Synthesizer š
š Description: Portrait4D-v2 is a novel method for one-shot 4D head avatar synthesis using pseudo multi-view videos and a vision transformer backbone, achieving superior performance without relying on 3DMM reconstruction.
š„ Authors: Yu Deng, Duomin Wang, and Baoyuan Wang
š Paper: Portrait4D-v2: Pseudo Multi-View Data Creates Better 4D Head Synthesizer (2403.13570)
š GitHub Page: https://yudeng.github.io/Portrait4D-v2/
š Repository: https://github.com/YuDeng/Portrait-4D
šŗ Video: https://www.youtube.com/watch?v=5YJY6-wcOJo
š CVPR-2023-24-Papers: https://github.com/DmitryRyumin/CVPR-2023-24-Papers
š More Papers: more cutting-edge research presented at other conferences in the DmitryRyumin/NewEraAI-Papers curated by @DmitryRyumin
š Added to the Avatars Collection: DmitryRyumin/avatars-65df37cdf81fec13d4dbac36
š Keywords: Portrait4D #4DAvatar #HeadSynthesis #3DModeling #TechInnovation #DeepLearning #ComputerGraphics #ComputerVision #Innovation
š Title: Portrait4D-v2: Pseudo Multi-View Data Creates Better 4D Head Synthesizer š
š Description: Portrait4D-v2 is a novel method for one-shot 4D head avatar synthesis using pseudo multi-view videos and a vision transformer backbone, achieving superior performance without relying on 3DMM reconstruction.
š„ Authors: Yu Deng, Duomin Wang, and Baoyuan Wang
š Paper: Portrait4D-v2: Pseudo Multi-View Data Creates Better 4D Head Synthesizer (2403.13570)
š GitHub Page: https://yudeng.github.io/Portrait4D-v2/
š Repository: https://github.com/YuDeng/Portrait-4D
šŗ Video: https://www.youtube.com/watch?v=5YJY6-wcOJo
š CVPR-2023-24-Papers: https://github.com/DmitryRyumin/CVPR-2023-24-Papers
š More Papers: more cutting-edge research presented at other conferences in the DmitryRyumin/NewEraAI-Papers curated by @DmitryRyumin
š Added to the Avatars Collection: DmitryRyumin/avatars-65df37cdf81fec13d4dbac36
š Keywords: Portrait4D #4DAvatar #HeadSynthesis #3DModeling #TechInnovation #DeepLearning #ComputerGraphics #ComputerVision #Innovation
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Fine-tune Florence-2 on any task š„
Today we release a notebook and a walkthrough blog on fine-tuning Florence-2 on DocVQA dataset @andito @SkalskiP
Blog: https://huggingface.co/blog š
Notebook: https://colab.research.google.com/drive/1hKDrJ5AH_o7I95PtZ9__VlCTNAo1Gjpf?usp=sharing š
Florence-2 is a great vision-language model thanks to it's massive dataset and small size!
This model requires conditioning through task prefixes and it's not as generalist, requiring fine-tuning on a new task, such as DocVQA š
We have fine-tuned the model on A100 (and one can also use a smaller GPU with smaller batch size) and saw that model picks up new tasks š„¹
See below how it looks like before and after FT š¤©
Play with the demo here andito/Florence-2-DocVQA šāāļø
Today we release a notebook and a walkthrough blog on fine-tuning Florence-2 on DocVQA dataset @andito @SkalskiP
Blog: https://huggingface.co/blog š
Notebook: https://colab.research.google.com/drive/1hKDrJ5AH_o7I95PtZ9__VlCTNAo1Gjpf?usp=sharing š
Florence-2 is a great vision-language model thanks to it's massive dataset and small size!
This model requires conditioning through task prefixes and it's not as generalist, requiring fine-tuning on a new task, such as DocVQA š
We have fine-tuned the model on A100 (and one can also use a smaller GPU with smaller batch size) and saw that model picks up new tasks š„¹
See below how it looks like before and after FT š¤©
Play with the demo here andito/Florence-2-DocVQA šāāļø
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Falcon 2: An 11B parameter pretrained language model and VLM, trained on over 5000B tokens tokens and 11 languages
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Introducing the Open Arabic LLM Leaderboard
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Hugging Face x LangChain : A new partner package in LangChain
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