Comments (1)
Hi, thanks for your interest.
Our two designs, Lineformer and MLG sampling are general. They can be plugged in other NeRF-based methods. As for the dynamic scenes. I suggest you combine the dynamic design with our proposed techniques. The D-NeRF is an example: D-NeRF: Neural Radiance Fields for Dynamic Scenes, https://github.com/albertpumarola/D-NeRF
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Related Issues (17)
- Code release HOT 4
- Question regarding the X3D dataset. HOT 2
- About your strategies HOT 6
- About hardware requirements (GPU) HOT 5
- About generating private datasets HOT 2
- SAX-NeRF testing error HOT 5
- Testing FDK error No TIGREDataset_Traditional function HOT 3
- Error with generating own data using TIGRE HOT 1
- Raw data convert HOT 1
- SAX-NeRF in colab HOT 1
- image saving problem HOT 2
- How to train using 2D RGB X-ray images HOT 1
- About line size of the Lineformer HOT 1
- SAX-NeRF Testing HOT 1
- Hash encoder requires CUDA v11.3 HOT 4
- Training Time Comparison HOT 1
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