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what if I use another 3DMM model such as BFM2017 ?

Open VincentXWD opened this issue 5 years ago • 11 comments

Hi, The model comes from https://gravis.dmi.unibas.ch/PMM/ could you plz have a look at this model ?

VincentXWD avatar Mar 07 '19 13:03 VincentXWD

I would be also interested in this model. Especially the UV map and the IBUG landmarks correspondence to vertices. Thank you for your awesome work!

HectorAnadon avatar Mar 07 '19 13:03 HectorAnadon

I'm using BFM2017 for training. Now it works (uv map for almost every example in the training set is generated, the training process is launched). Later I may answer about its results

FelixFox avatar Mar 09 '19 14:03 FelixFox

There's a well-trained model from http://gravis.dmi.unibas.ch/PMM/. I'm using this model to replace BFM09 for inference.

VincentXWD avatar Mar 09 '19 14:03 VincentXWD

@VincentXWD It's Scalismo (from here ) or it's The Basel Illumination Prior (from here ) ?

FelixFox avatar Mar 09 '19 16:03 FelixFox

I use the BFM17 model and rewrote the IO. The model is from http://gravis.dmi.unibas.ch/PMM/data/overview/

VincentXWD avatar Mar 09 '19 16:03 VincentXWD

I would be also interested in this model. Especially the UV map and the IBUG landmarks correspondence to vertices. Thank you for your awesome work!

Hi, I am also interested in the BFM2017 model, and specifically the UV parametrization ! Has any body found a way to get it ? Thank you @YadiraF !

BenjBarral avatar Jun 21 '19 10:06 BenjBarral

Hi, a UV-parametrization for the BFM2017 can be found here: face mask: https://github.com/unibas-gravis/parametric-face-image-generator/blob/master/data/regions/face12.json bfm mask: https://github.com/unibas-gravis/parametric-face-image-generator/blob/master/data/regions/bfm09.png

BernhardEgger avatar Oct 09 '19 01:10 BernhardEgger

@FelixFox the training set used in 3DDFA includes .mat file(GT, which is necessary to the scipy 8_generate_posmap_300WLP.py ). as i now the mat file includes shape_paras , exp_paras and so on. These parameters are generated based on BFM2009. Before you use BFM2017 for training, do you generate these parameters which is based on BFM2017? Look forward to your reply. thks

ReverseSystem001 avatar Oct 12 '19 09:10 ReverseSystem001

I use the BFM17 model and rewrote the IO. The model is from http://gravis.dmi.unibas.ch/PMM/data/overview/

@VincentXWD Would you be willing to share your version of the IO for BFM 2017? I would greatly appreciate it if you could!

nsalminen avatar Nov 25 '19 17:11 nsalminen

I use the BFM17 model and rewrote the IO. The model is from http://gravis.dmi.unibas.ch/PMM/data/overview/

@VincentXWD Would you be willing to share your version of the IO for BFM 2017? I would greatly appreciate it if you could!

Sorry I cannot. :-( I was left the company and the modified scripts were saved in there. Currently I don't have permission to access the codes.

VincentXWD avatar Nov 26 '19 02:11 VincentXWD

I use the BFM17 model and rewrote the IO. The model is from http://gravis.dmi.unibas.ch/PMM/data/overview/

@VincentXWD Would you be willing to share your version of the IO for BFM 2017? I would greatly appreciate it if you could!

Sorry I cannot. :-( I was left the company and the modified scripts were saved in there. Currently I don't have permission to access the codes.

Ah okay makes sense! Thanks for your quick reply!

nsalminen avatar Nov 26 '19 08:11 nsalminen