the inputs of transient and appearance embedding

[SensenZhang]

Hello, I would like to know the input of transient_embedding and appearance_embedding. Thank you

[rover-xingyu]

Hi, the transient embeddings are randomly initialized and trained by optimizing the objective function, and the CNN encoder extracts the appearance embeddings.

[SensenZhang]

Thank you for your reply. While debugging the code nerf-w, I was puzzled by the 'ts' in the following figure, which when initialized seems to be just a set of integers "img_num[img_himg_w]", independent of the characteristics of the image. I want to know the specific meaning of ts and how to obtain it. Thank you very much.

谢谢您的回复。我在调试代码nerf-w的过程中，对下图中的 ‘ts’ 感到疑惑，'ts' 在初始化时似乎只是一组 “img_num[img_himg_w]” 的整数，与图像的特征并无关系。我想知道ts的具体含义，以及获取的方法。谢谢您！

------------------ 原始邮件 ------------------ 发件人: "rover-xingyu/Ha-NeRF" @.>; 发送时间: 2023年4月1日(星期六) 晚上7:11 @.>; @.**@.>; 主题: Re: [rover-xingyu/Ha-NeRF] the inputs of transient and appearance embedding (Issue #23)

Hi, the transient embeddings are randomly initialized and trained by optimizing the objective function, and the CNN encoder extracts the appearance embeddings.

— Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you authored the thread.Message ID: @.***>

[rover-xingyu]

It denotes the id of the image.

[SensenZhang]

I get it. Thank you very much for your reply!

------------------ 原始邮件 ------------------ 发件人: "rover-xingyu/Ha-NeRF" @.>; 发送时间: 2023年4月1日(星期六) 晚上8:46 @.>; @.**@.>; 主题: Re: [rover-xingyu/Ha-NeRF] the inputs of transient and appearance embedding (Issue #23)

It denotes the id of the image.

— Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you authored the thread.Message ID: @.***>