How to visualize the denoising intermediate results in diffusion model

GoldenFishes commented 9 months ago

The denoising visualization in diffusion U-ViT

GoldenFishes commented 9 months ago

See "sample_multi_v0 (intermediate results in denoising process).py". I hope it can hellp you.

xiao2mo commented 8 months ago

Dear author, Could u share some visualization scripts? Thanks a lot.

GoldenFishes commented 8 months ago

Dear author, Could u share some visualization scripts? Thanks a lot.

I plan to publicly share the details of the visualization graphics. Visualization is one of the crucial presentation skills for researchers. However, my paper hasn't been accepted yet, so I cannot disclose all the details at this moment. If it's urgent, feel free to contact me privately in another setting.

archernsy commented 4 months ago

Is it convenient for you to publish the visualization script now? I see that your paper has been successfully published.

GoldenFishes commented 4 months ago

Is it convenient for you to publish the visualization script now? I see that your paper has been successfully published. see the code in Visualization_Code(chinese)/t2i/visualization/傅里叶相对对数震幅.py

jinhaohust commented 3 months ago

老哥你好，非常出色的工作我想请问在你的可视化脚本中，傅里叶相对对数震幅.py 返回值是return relative_log_frequency[0], frequency_values 看起来返回的是图像一行的频率信息，而没有保留图像完整的二维频率信息，这个部分需要改进吗

GoldenFishes commented 3 months ago

非常欢迎您尝试改进可视化的相关内容，或许能得到更多值得讨论的结果

---Original--- From: @.> Date: Thu, May 16, 2024 20:53 PM To: @.>; Cc: @.**@.>; Subject: Re: [GoldenFishes/FreeV] How to visualize the denoising intermediateresults in diffusion model (Issue #1)

老哥你好，非常出色的工作我想请问在你的可视化脚本中，傅里叶相对对数震幅.py 返回值是return relative_log_frequency[0], frequency_values 看起来返回的是图像一行的频率信息，而没有保留图像完整的二维频率信息，这个部分需要改进吗

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How to visualize the denoising intermediate results in diffusion model #1