Comments (1)
ParthaEth
commented on May 24, 2024
Well, from a geometry perspective nothing really changes w.r.t resolution. So you can imagine all parameters except for the internal camera matrix everything stays the same. The only things that change in the internal camera matrix are the camera centre and the focal length. But the only place where the camera is used is when we obtain the renderings. So you might as well use everything as is and upsample the 256X256 renderings. Stretching even further, The renderings really do not contain information that is only visible in very high resolution and are not visible at 256X256. So all in all you might as well keep everything the same on the DECA side and train with 1024X1024 images.
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Related Issues (20)
- training problems HOT 3
- train on my own datasets,the embd_reg_l loss is 0
- output images are fine, but the meshes are all black HOT 5
- Use DECA to get FLAME parameters, but when using these parameters to generate image, the saved meshes still all black
- Mtl file does not exist HOT 2
- done HOT 2
- done
- done
- train on my own datasets ,but the test results are bad HOT 1
- can't don't load inputfile and checkpoint
- Problem with run generate_random_samples.py HOT 3
- trouble with running generate_random_samples.py HOT 1
- [Q]. How to get images of similar appearance but different pose face images like fig.1 in the paper? HOT 1
- run fail HOT 3
- CUDA out of memory HOT 2
- Download the FLAME_texture_data HOT 1
- ModuleNotFoundError: No module named 'my_utils.photometric_optimization.models' HOT 4
- error: verts, faces, aux = load_obj(obj_filename) HOT 3
- File is missing
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