I recently read your paper titled "Efficient 3D-Aware Image Generation with Pose-Conditioned Convolutional Networks" and found it to be quite insightful. Your method of distilling 3D knowledge from pre-trained Neural Radiance Fields (NeRF)-GANs and the way you've achieved comparable results to volumetric rendering in terms of quality and 3D consistency is commendable.
I am currently working on a project that could greatly benefit from your research. I believe that your code would provide a valuable resource for understanding and implementing your proposed method in a practical setting.
Therefore, I kindly request you to consider releasing the code related to your paper on GitHub. This would not only help me but also other researchers and developers who are interested in this field.
Thank you for your consideration and I look forward to your positive response.
Dear Authors,
I recently read your paper titled "Efficient 3D-Aware Image Generation with Pose-Conditioned Convolutional Networks" and found it to be quite insightful. Your method of distilling 3D knowledge from pre-trained Neural Radiance Fields (NeRF)-GANs and the way you've achieved comparable results to volumetric rendering in terms of quality and 3D consistency is commendable.
I am currently working on a project that could greatly benefit from your research. I believe that your code would provide a valuable resource for understanding and implementing your proposed method in a practical setting.
Therefore, I kindly request you to consider releasing the code related to your paper on GitHub. This would not only help me but also other researchers and developers who are interested in this field.
Thank you for your consideration and I look forward to your positive response.
Best Regards, Rotem