Thanks @_akhaliq for your kind promotion! The 🤗 @huggingface@Gradio demo and the inference code are released now! Please give it a try!🚀
Huggingface Space: https://t.co/wAj2TVIlwe
Github Repo: https://t.co/0i6CIqpxLC
Project Page: https://t.co/z7tL4nBWjn
Thanks @_akhaliq for sharing our work! The code and demo will be public soon. Please have a look if you are interested.🥰🥰🥰
Paper: https://t.co/rywt2tPEKz, https://t.co/2b4lEhKk05
Github: https://t.co/0i6CIqpxLC
Project page: https://t.co/z7tL4nBWjn
Thanks for sharing!!! @_akhaliq 🔥
This work focuses on 360° depth estimation, called DA^2: Depth Anything in Any Direction,
We first built a large-scale training data (scales-up existing data in nearly 10 times!), then we trained a Sphere-aware ViT using the scaled-up data. Finally, DA^2 achieves remarkable geometrical fidelity and strong zero-shot generalization, which we believe can enable various 3D scene related applications, e.g., world models. Please check out below links for more details: 😊
Paper: https://t.co/wlX7LLmPa6
Huggingface daily paper: https://t.co/LvPBUmhiOP
Code (coming soon): https://t.co/2WaDeYnRfd
Project page: https://t.co/T0ANj8pe26
A beautiful collaboration with Tencent Hunyuan @TencentHunyuan@TencentGlobal! Thanks all co-authors! @MaskerZW, @Jingheya, @LeoLau_yuhao, @XinLin321, Xin Yang, @YingCongChen1, Chunchao Guo
Thanks for sharing!!! @_akhaliq 🔥
This work focuses on 360° depth estimation, called DA^2: Depth Anything in Any Direction,
We first built a large-scale training data (scales-up existing data in nearly 10 times!), then we trained a Sphere-aware ViT using the scaled-up data. Finally, DA^2 achieves remarkable geometrical fidelity and strong zero-shot generalization, which we believe can enable various 3D scene related applications, e.g., world models. Please check out below links for more details: 😊
Paper: https://t.co/wlX7LLmPa6
Huggingface daily paper: https://t.co/LvPBUmhiOP
Code (coming soon): https://t.co/2WaDeYnRfd
Project page: https://t.co/T0ANj8pe26
A beautiful collaboration with Tencent Hunyuan @TencentHunyuan@TencentGlobal! Thanks all co-authors! @MaskerZW, @Jingheya, @LeoLau_yuhao, @XinLin321, Xin Yang, @YingCongChen1, Chunchao Guo