Deep Generative Video Compression
Authors: Salvator Lombardo, JUN HAN, Christopher Schroers, Stephan Mandt
NeurIPS 2019 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Rate-distortion evaluations on small videos from public data sets with varying complexity and diversity show that our model yields competitive results when trained on generic video content. |
| Researcher Affiliation | Collaboration | Jun Han Dartmouth College junhan@cs.dartmouth.edu Salvator Lombardo Disney Research LA salvator.d.lombardo@disney.com Christopher Schroers Disney Research|Studios christopher.schroers@disney.com Stephan Mandt University of California, Irvine mandt@uci.edu |
| Pseudocode | No | The paper does not contain structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide concrete access to source code for the methodology described. |
| Open Datasets | Yes | 1) Sprites. The simplest dataset consists of videos of Sprites characters from an open-source video game project, which is used in (Reed et al., 2015; Mathieu et al., 2016; Li & Mandt, 2018). ... 2) BAIR. BAIR robot pushing dataset (Ebert et al., 2017) consists of a robot pushing objects on a table, which is also used in (Babaeizadeh et al., 2018; Denton & Fergus, 2018; Lee et al., 2018). ... 3) Kinetics600. The last dataset is the Kinetics600 dataset (Kay et al., 2017) which is a diverse set of You Tube videos depicting human actions. |
| Dataset Splits | No | The paper does not provide specific dataset split information for training, validation, or testing. |
| Hardware Specification | No | No specific hardware details (like GPU/CPU models or types) used for running experiments were mentioned in the paper. |
| Software Dependencies | No | The paper mentions "open source FFMPEG implementation" but does not provide specific version numbers for FFMPEG or any other ancillary software dependencies. |
| Experiment Setup | Yes | Our curves are generated by varying β (Eq. 7). |