-
1.Revitalizing optimization for 3d human pose and shape estimation: A sparse constrained formulation(2021)
code:No
2.Body meshes as points(2021)
regared as a two class classification task(if a grid…
-
This table is from your paper.
In the paper, you mentioned that "SmoothNet is trained with the po…
-
1.Learning to Reconstruct 3D Human Pose and Shape via Model-fitting in the Loop（2019）
collaborate regression-based (as initial pose) and iterative optimization-based approach.
code: No
2.Weakly S…
-
1.HoloPose: Holistic 3D Human Reconstruction In-The-Wild(2019)
mixture-of-experts rotation prior, part-based modeling( features co-varies with joint position)
code: can not open [http://arielai.com/…
-
**With Clothes**
1.Learning to reconstruct people in clothing from a single rgb camera(2019)
code:https://github.com/thmoa (no training code) (same link to 1,2,3)
2.Multi-garmentnet: Learning to…
-
1.PARE: Part Attention Regressor for 3D Human Body Estimation(2021)
img-->volumetric features(before the global average pooling)-->part branch: estimates attention weights +feature branch: performs S…
-
1.Shape-aware Multi-Person Pose Estimation from Multi-View Images(2021)
Part Affinity Fields (PAFs)，2d clusters candidate to 3d cluster candididate, confidence-aware votingbased algorithm.
code: htt…
-
1.Delving Deep Into Hybrid Annotations for 3D Human Recovery in the Wild(2019)
In annotations used for input and supervision, dense correspondence can be more effective, or achieve same results when …
-
Thank you for your great work on the Hi4D dataset. I have been working with the dataset and specifically analyzing the test.pkl file for each motion case. After extracting the image features, I notice…
-
Thanks for your great work! When will you release the code of "DDT: A Diffusion-Driven Transformer-based Framework for Human Mesh Recovery from a Video"?