Technical tricks to improve or accelerate ECON
If the reconstructed geometry is not satisfying, play with the adjustable parameters in config/econ.yaml
use_smpl: ["hand"]
[ ]: don't use either hands or face parts from SMPL-X
["hand"]: only use the visible hands from SMPL-X
["hand", "face"]: use both visible hands and face from SMPL-X
thickness: 2cm
could be increased accordingly in case final reconstruction xx_full.obj looks flat
k: 4
could be reduced accordingly in case the surface of xx_full.obj has discontinous artifacts
hps_type: PIXIE
"pixie": more accurate for face and hands
"pymafx": more robust for challenging poses
texture_src: image
"image": direct mapping the aligned pixels to final mesh
"SD": use Stable Diffusion to generate full texture (TODO)
To accelerate the inference, you could
use_ifnet: False
True: use IF-Nets+ for mesh completion ( $\text{ECON}_\text{IF}$ - Better quality, ~2min / img )
False: use SMPL-X for mesh completion ( $\text{ECON}_\text{EX}$ - Faster speed, ~1.8min / img )
# For single-person image-based reconstruction (w/o all visualization steps, 1.5min)
python -m apps.infer -cfg ./configs/econ.yaml -in_dir ./examples -out_dir ./results -novis