Aligning Silhouette Topology for Self-Adaptive 3D Human Pose Recovery
Authors: Ramesha Rakesh Mugaludi, Jogendra Nath Kundu, Varun Jampani, Venkatesh Babu R
NeurIPS 2021 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Experimental results demonstrate our superiority against prior-arts in self-adapting a source trained model to diverse unlabeled target domains, such as a) in-the-wild datasets, b) low-resolution image domains, and c) adversarially perturbed image domains (via UAP). |
| Researcher Affiliation | Collaboration | Mugalodi Rakesh1 Jogendra Nath Kundu1 Varun Jampani2 R. Venkatesh Babu1 1Indian Institute of Science, Bangalore 2Google Research |
| Pseudocode | Yes | Algorithm 1: Proposed adaptation procedure. |
| Open Source Code | No | The paper provides a webpage link (https://sites.google.com/view/align-topo-human) but does not contain an explicit statement that the source code for the described methodology is released or available there. It is not a direct link to a code repository. |
| Open Datasets | Yes | Datasets. Moshed [37] CMU-Mo Cap [32] and H3.6M training-set [19] form our unpaired 3D pose data... We use SURREAL [57] to train our synthetic source model... We use a mixture of Human3.6M [19] and MPII [1] as our Real-domain dataset... We perturb the clean Human3.6M [19] samples... We use low-resolution (LR) variants of 3DPW [58] dataset... |
| Dataset Splits | Yes | We evaluate on Human3.6M [19] following Protocol-2 [23]. |
| Hardware Specification | Yes | A single iteration of the iterative ļ¬tting procedure takes nearly 12ms on a Titan-RTX GPU. |
| Software Dependencies | No | The paper mentions software components like 'Res Net-50' and 'Adam optimizer' but does not provide specific version numbers for any software dependencies or libraries. |
| Experiment Setup | Yes | We use the Adam optimizer [25] with a learning rate 1e 6 and batch size of 16, while setting Max Iteropt to 10 and K=4. |