Comments (2)
The tasks of HMR2.0 and ROMP are similar in the sense that they return the SMPL parameters for a person from a single input image. One difference is that ROMP specifically focuses on cases with multiple people.
In terms of quantitative comparison, you can compare the results on the 3DPW dataset (Table 1 of our paper vs Table 3 for the ROMP paper).
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Thanks for your answer!
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Related Issues (20)
- Annotate video with and extract keypoints instead of mesh HOT 2
- How to finetune model?
- Evaluation of 3DPW HOT 2
- About the learning rate HOT 1
- Multi gpu training HOT 1
- Visualization of the reconstructed human mesh HOT 2
- Unable to download hmr2_data.tar.gz HOT 2
- A colab error about tracking HOT 2
- The meaning of 'NUM_TRAIN_SAMPLES', 'NUM_TEST_SAMPLES' and the question of the discriminator.
- PHALP tracker taking lot of CPU utilization HOT 1
- Can not import expand_bbox_to_aspect_ratio from hmr2.datasets.utills HOT 1
- about the training data,do you use EFT fits or what? HOT 6
- how about using smpl 49 keypoints(like spin did) instead of your smpl 44 keypoints? will the result be worse? HOT 2
- Is it easy to train this work with 4 V100 24G or 8 3090 24G? (no A100) HOT 1
- Error of downloading training dataset HOT 1
- Is there any specific reason for choosing Detectron2 as human detection model? HOT 1
- Using 4 V100-16, and set batchsize=1, torch.cuda.OutOfMemoryError:
- Have you tried to use a smaller backbone? HOT 1
- use SMPLX model with hands and feet? HOT 2
- Pseudo labels generation
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