Image Generation using Continuous Filter Atoms
Authors: Ze Wang, Seunghyun Hwang, Zichen Miao, Qiang Qiu
NeurIPS 2021 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We support the proposed framework of image generation with continuous filter atoms using various experiments, including image-to-image translation and image generation conditioned on continuous labels. |
| Researcher Affiliation | Academia | Ze Wang Seunghyun Hwang Zichen Miao Qiang Qiu Purdue University {zewang, hwang229, miaoz, qqiu}@purdue.edu |
| Pseudocode | No | The paper does not contain any pseudocode or clearly labeled algorithm blocks. |
| Open Source Code | No | The paper does not provide any links to open-source code or explicitly state that the code will be made publicly available. |
| Open Datasets | Yes | We present results on various datasets including edges ! handbags, edges ! shoes, maps ! satellite, night ! days, and labels ! facades. Paired samples. In this experiment, we plug in our continuous filter atoms to the Pix2Pix [17] model and conduct continuous conditional image-to-image translation tasks on five different synthetic datasets, RC-49 [8], RA-20, RCA-20, RT-20, RL-20, where objects in each dataset are rendered to rotate between 0 and 360 with 0.1 interval. Unpaired samples. For translation tasks on unpaired datasets, we present results on UTKFace [56], Steering Angle, cells-200, and Waymo [41] dataset. |
| Dataset Splits | No | The paper does not explicitly provide training/test/validation dataset splits with specific percentages, counts, or references to predefined split methodologies. |
| Hardware Specification | No | The paper does not explicitly describe the hardware used to run its experiments. |
| Software Dependencies | No | The paper does not provide a reproducible description of ancillary software, as no specific version numbers for key software components are mentioned. |
| Experiment Setup | No | Implementation details are in Appendix Section B. |