The input image is:

I attempted to save decode_fake_mv and gs_out_data['images_pred'] in lines after 450 of VideoMV/tools/modules/unet/unet_i2vgen.py. While decode_fake_mv:




is correct, it seems that gs_out_data['images_pred']:





is not as expected, which further affects the subsequent generation process.
I attempted to visualize the Gaussian object:


but the rendered image in VideoMV/tools/modules/unet/unet_i2vgen.py does not seem to capture all the faces of the object. This leads me to suspect that the camera parameters might be incorrect.
I am using the officially recommended environment for videomv as per the documentation.
The input image is:
I attempted to save decode_fake_mv and gs_out_data['images_pred'] in lines after 450 of VideoMV/tools/modules/unet/unet_i2vgen.py. While decode_fake_mv:
is correct, it seems that gs_out_data['images_pred']:
is not as expected, which further affects the subsequent generation process.
I attempted to visualize the Gaussian object:
but the rendered image in VideoMV/tools/modules/unet/unet_i2vgen.py does not seem to capture all the faces of the object. This leads me to suspect that the camera parameters might be incorrect.
I am using the officially recommended environment for videomv as per the documentation.