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Thanks for your answer. I don't use the pose optimatimzition and appearance embending. The test ing psnr is also 20 psnr, training psnr 26db.

When I use the instant-ngp method, the train and test psnr are close to being equal.

Hi, I test the nerfactor sf dataset. The train-num-rays-per-batch is 8192. Orientation-method is pca. After 33000 iterations, the training psnr is 32db, but testing psnr is about 20psnr.

The new view image has no details

Hi，I use mobile phone to capture a indoor scene, and walk slowly ahead with my phone. The phone is alway facing forward, tooks a full circle path indoors. I use...

Thanks for your reply. Sorry I have not visualize the camera distribution in the viewer. The camera distribution is as shown in the following figure.  The white indicates the...

I can get good result on this data using instant-ngp. Is the nerfacto method not suitable this data?