Comments (1)
This work models geometry with surfaces (just vertices, without connectivity), so it starts off with the surface from NeRF and then refines the surface vertices' locations. As such, there is no concept of volume density in NeRFactor; the only volume density in the pipeline is that of NeRF, from which we extracted the initial surface.
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Related Issues (20)
- The pre-trained models and data provided are not sufficient to perform tests on the blender dataset HOT 3
- How to calculate geometry buffers from MVS geometry ? HOT 1
- Rendering scripts HOT 1
- questions about hdrs. HOT 1
- Question about incompatible shapes(0,3) and (100,3) at II. Joint Optimization in Training, Validation, and Testing HOT 19
- gradient error in Joint Optimization HOT 6
- brdf_scale HOT 5
- MLPs wrong skip connection
- Crash at shape pre-training HOT 7
- OOM at II. Joint Optimization in Training, Validation, and Testing HOT 2
- Wrong NeRF and surface
- How long will it take to run the third part in the ./nerfactor HOT 1
- Rendering results are all white after training the vanilla NeRF in step1 HOT 1
- Shape error at II. Joint Optimization HOT 1
- About create my own dataset
- Relighting Results Background Color HOT 1
- When I train vanilla nerf, there are countless threads.
- It is slow to render my own synthetic data, can we use gpu to render? HOT 1
- Shape pre-trained stage error HOT 2
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