GIF
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ParthaEth
GIF is a photorealistic generative face model with explicit 3D geometric and photometric control.
I have got this issue when I try to run python generate_voca_animation.py any hint? Output: Collating FFHQ parameters Collating FFHQ parameters, done! >>>>>>>>>>>>>> generator const_input n_params: 8192 generator to_rgb n_params:...
run fail
I not sure it is model version or code version issue? File "generate_random_samples.py", line 162, in flm_batch = position_to_given_location(flame_decoder, flm_batch) File "../my_utils/eye_centering.py", line 39, in position_to_given_location verts, _, _ =...
Hi, thanks for your great work! I find that DECA can only preocess images with size 224*224 ? How do you get the flame parameters of FFHQ which are 1024...
Thank you for the nice work! I'm trying to run the pre-trained model but failed.How can I get FLAME_texture.npz and head_template_mesh.obj?
[Q]. How to get images of similar appearance but different pose face images like fig.1 in the paper?
I've tested `generate_sample_random.py`. The image quality is very nice but, the generated faces doesn't look like the same person. Does anyone know what should we change the parts of code...
Hi, thanks for your great work! I have completed the configuration followed **first thing first** section of the read me, But when I run **python generate_random_samples.py** , I got some...
Dear authors, thank you for sharing your valuable work. I was trying to generate the results like table 3 of the paper using the script GIF/tests/deca_inf_vs_given_cond_landmark_viz.py. Here, I could not...
