Using custom data with colmap initialized poses.

sfchng / Gaussian-Activated-Radiance-Fields

[ECCV 2022 Oral] GARF: Gaussian Activated Radiance Fields for High Fidelity Reconstruction & Pose Estimation

https://sfchng.github.io/garf/

110 stars 2 forks source link

Using custom data with colmap initialized poses. #6

Open gs14iitbbs opened 1 year ago

gs14iitbbs commented 1 year ago

I have recorded simple custom data and got the Colmap poses. When I run using BARF or GARF, the pose errors decrease (R 96 degrees, t about 18), but PSNR is around 18, with messy output-generated images. I don't understand why the R and t errors are so high, and why messy images?

Cerf-Volant425 commented 1 year ago

Also ran into this problem.