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🌼 SOTA Textured 3D-Guided VTON 🌼
👉 #ALIBABA unveils 3DV-TON, a novel diffusion model for HQ and temporally consistent video. Generating animatable textured 3D meshes as explicit frame-level guidance, alleviating the issue of models over-focusing on appearance fidelity at the expense of motion coherence. Code & benchmark to be released 💙
👉 Review: https://t.ly/0tjdC
👉 Paper: https://lnkd.in/dFseYSXz
👉 Project: https://lnkd.in/djtqzrzs
👉 Repo: TBA
#AI #3DReconstruction #DiffusionModels #VirtualTryOn #ComputerVision #DeepLearning #VideoSynthesis
https://t.iss.one/DataScienceT🔗
👉 #ALIBABA unveils 3DV-TON, a novel diffusion model for HQ and temporally consistent video. Generating animatable textured 3D meshes as explicit frame-level guidance, alleviating the issue of models over-focusing on appearance fidelity at the expense of motion coherence. Code & benchmark to be released 💙
👉 Review: https://t.ly/0tjdC
👉 Paper: https://lnkd.in/dFseYSXz
👉 Project: https://lnkd.in/djtqzrzs
👉 Repo: TBA
#AI #3DReconstruction #DiffusionModels #VirtualTryOn #ComputerVision #DeepLearning #VideoSynthesis
https://t.iss.one/DataScienceT
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❤2👍2
✨EVTAR: End-to-End Try on with Additional Unpaired Visual Reference
📝 Summary:
EVTAR is an end-to-end virtual try-on model that enhances accuracy and garment detail preservation using additional reference images. It simplifies the process by requiring only source and target garment inputs, producing high-quality, realistic try-on results.
🔹 Publication Date: Published on Nov 2
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.00956
• PDF: https://arxiv.org/pdf/2511.00956
• Github: https://github.com/360CVGroup/EVTAR
🔹 Models citing this paper:
• https://huggingface.co/qihoo360/EVTAR
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
#VirtualTryOn #ComputerVision #DeepLearning #AIFashion #ImageSynthesis
📝 Summary:
EVTAR is an end-to-end virtual try-on model that enhances accuracy and garment detail preservation using additional reference images. It simplifies the process by requiring only source and target garment inputs, producing high-quality, realistic try-on results.
🔹 Publication Date: Published on Nov 2
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.00956
• PDF: https://arxiv.org/pdf/2511.00956
• Github: https://github.com/360CVGroup/EVTAR
🔹 Models citing this paper:
• https://huggingface.co/qihoo360/EVTAR
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
#VirtualTryOn #ComputerVision #DeepLearning #AIFashion #ImageSynthesis