Towards Squeezing-Averse Virtual Try-On via Sequential Deformation
Authors: Sang-Heon Shim, Jiwoo Chung, Jae-Pil Heo
AAAI 2024 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Experimental results show that our SDVITON successfully resolves both types of artifacts and outperforms the baseline methods. |
| Researcher Affiliation | Academia | Sang-Heon Shim, Jiwoo Chung, Jae-Pil Heo* Sungkyunkwan University {ekzmwww, wldn0202, jaepilheo}@skku.edu |
| Pseudocode | No | The paper does not contain any structured pseudocode or algorithm blocks. |
| Open Source Code | Yes | Source code will be available at https://github.com/SHShim0513/SD-VITON. |
| Open Datasets | Yes | We conduct experiments on a high-resolution virtual try-on dataset introduced by VITON-HD (Choi et al. 2021). It contains 11, 647 image pairs for the training phase and 2, 032 pairs for the evaluation, each of which has a frontview woman and a top clothes with 1024 768 resolution. |
| Dataset Splits | No | The paper states '11, 647 image pairs for the training phase and 2, 032 pairs for the evaluation', but does not explicitly mention a separate validation set or specific proportions for all three splits (train/validation/test). |
| Hardware Specification | No | The paper does not provide specific details regarding the hardware (e.g., GPU model, CPU type, memory) used for running the experiments. |
| Software Dependencies | No | The paper does not list specific version numbers for software dependencies (e.g., Python, PyTorch, CUDA versions) required for reproducibility. |
| Experiment Setup | Yes | LTOCG = λCELCE + λL1(LL1 + LM L1 ) +(LVGG + LM VGG) + Lc GAN + λTVLTV + Lz-dist, (13) where λCE, λL1, λTV is set to 10, 10, and 2 for a balance. |