Open jdobbang opened 1 year ago
Hi @jdobbang, thank you for your interest in our work.
PHALP'+HMR2 simply replaces PHALP's poses (that come from HMAR) with HMR2 but continues to use the old appearance and future no pose prediction.
4DHumans uses a new pose prediction network (Figure 3) and appearance head, leading to better results.
Hope this helps!
Thank you for your answer!
Based on your answer, I have few more questions.
Thank you
Hi @jdobbang, thank you for your interest in our work.
PHALP'+HMR2 simply replaces PHALP's poses (that come from HMAR) with HMR2 but continues to use the old appearance and future pose prediction.
4DHumans uses a new pose prediction network (Figure 3) and appearance head, leading to better results.
Hope this helps!
I'd like to echo question 3. from jdobbang. Based on your quoted reply and having a look at track.py it seems like you've only released the code for PHALP` + HMR2. Is 4DHumans (specifically with the new pose predictor) available yet?
Is there an answer to this question? Thanks!
Hi, 4DHumans uses Pose Transformer V2 for pose prediction, which is different from PHALP. However, I've tried running both the latest PHALP and 4DHumans repositories with AVA datasets, and I don't see any difference in the results. Do you have any examples where there is enough of a performance difference to separate the two repositories? Thank you!
Hi! I'm really appreciate for you great work!! I followed your work about 3d feature based multi-person tracking model since T3DP model proposed.
I have a question during reading your paper.
What is the difference between PHALP' with HMR 2.0 and 4DHumans? I thought these two are same but at Table3 and 4, these seemed to show different performance in tracking and I'm not sure there are two seperate versions in the code.