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@@ -17,7 +17,6 @@ ViPE: Visualize Pretty-much Everything, is the first automated model for transla
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  <!-- Provide a longer summary of what this model is. -->
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  - **Developed by:** [Computer Graphics Group, University of Tuebingen](https://uni-tuebingen.de/fakultaeten/mathematisch-naturwissenschaftliche-fakultaet/fachbereiche/informatik/lehrstuehle/computergrafik/lehrstuhl/)
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  - **Model type:** Auto-Regressive
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  - **Language:** English
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  - **Repository:** [Github](https://github.com/Hazel1994/ViPE)
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  - **Paper:** [EMNLP2023](https://2023.emnlp.org/program/)
 
 
 
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  - **Demo:**[ViPE Videos] (youtube link)
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  <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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- #### Preprocessing [optional]
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- [More Information Needed]
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- #### Training Hyperparameters
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- - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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- #### Speeds, Sizes, Times [optional]
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- <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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- [More Information Needed]
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  ## Evaluation
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  <!-- This section describes the evaluation protocols and provides the results. -->
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- ### Testing Data, Factors & Metrics
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- #### Testing Data
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- <!-- This should link to a Dataset Card if possible. -->
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- #### Factors
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- <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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- #### Metrics
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- <!-- These are the evaluation metrics being used, ideally with a description of why. -->
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- ### Results
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- ## Technical Specifications [optional]
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- ### Model Architecture and Objective
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- [More Information Needed]
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- ### Compute Infrastructure
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- #### Hardware
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- #### Software
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- ## Citation [optional]
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  <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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- **BibTeX:**
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- **APA:**
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- ## Glossary [optional]
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- <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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- [More Information Needed]
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- ## More Information [optional]
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- [More Information Needed]
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  ## Model Card Contact
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- [More Information Needed]
 
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  <!-- Provide a longer summary of what this model is. -->
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  - **Developed by:** [Computer Graphics Group, University of Tuebingen](https://uni-tuebingen.de/fakultaeten/mathematisch-naturwissenschaftliche-fakultaet/fachbereiche/informatik/lehrstuehle/computergrafik/lehrstuhl/)
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  - **Model type:** Auto-Regressive
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  - **Language:** English
 
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  - **Repository:** [Github](https://github.com/Hazel1994/ViPE)
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  - **Paper:** [EMNLP2023](https://2023.emnlp.org/program/)
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+ ### Music Video Genrations
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+ - **Repository:** [Github](https://github.com/Hazel1994/ViPE)
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  - **Demo:**[ViPE Videos] (youtube link)
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  <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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  ## Evaluation
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  <!-- This section describes the evaluation protocols and provides the results. -->
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+ ## Citation
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+ If you find ViPE useful, please cite our paper.
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  <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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  ## Model Card Contact
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+ [Hassan Shahmohammadi](fittar.me)