关于使用自定义数据导致CPU内存不足和效果不好的情况

wbhu / Tri-MipRF

Tri-MipRF: Tri-Mip Representation for Efficient Anti-Aliasing Neural Radiance Fields, ICCV'23 (Oral, Best Paper Finalist)

https://wbhu.github.io/projects/Tri-MipRF

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Closed Flyingdog-Huang closed 11 months ago

Flyingdog-Huang commented 1 year ago

数据分辨率：1924*1080 数量：650张类型：jpg（三通道）

问题一：使用数据转换脚本：convert_blender_data.py时，CPU-mem需要达到42GB 临时方案：减少数量，缩小分辨率

问题二：效果不佳（PSNR<16, loss>0.004）详细描述：在19201072-163数据中在800800-325数据中

wbhu commented 11 months ago

closed as duplicated issue