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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", "face"]
- [ ]: 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