Removed broken gradio demo link

wilson1yan · Jun 7, 2021 · ca8891c · ca8891c
1 parent 8dd3c3e
commit ca8891c
Showing 1 changed file with 1 addition and 1 deletion.
diff --git a/README.md b/README.md
@@ -1,6 +1,6 @@
 # VideoGPT: Video Generation using VQ-VAE and Transformers
 
-[[Paper]](https://arxiv.org/abs/2104.10157)[[Website]](https://wilson1yan.github.io/videogpt/index.html)[[Colab]](https://colab.research.google.com/github/wilson1yan/VideoGPT/blob/master/notebooks/Using_VideoGPT.ipynb)[[Gradio Demo]](https://gradio.app/g/AK391/VideoGPT)
+[[Paper]](https://arxiv.org/abs/2104.10157)[[Website]](https://wilson1yan.github.io/videogpt/index.html)[[Colab]](https://colab.research.google.com/github/wilson1yan/VideoGPT/blob/master/notebooks/Using_VideoGPT.ipynb)
 
 We present VideoGPT: a conceptually simple architecture for scaling likelihood based generative modeling to natural videos. VideoGPT uses VQ-VAE that learns downsampled discrete latent representations of a raw video by employing 3D convolutions and axial self-attention. A simple GPT-like architecture is then used to autoregressively model the discrete latents using spatio-temporal position encodings. Despite the simplicity in formulation and ease of training, our architecture is able to generate samples competitive with state-of-the-art GAN models for video generation on the BAIR Robot dataset, and generate high fidelity natural images from UCF-101 and Tumbler GIF Dataset (TGIF). We hope our proposed architecture serves as a reproducible reference for a minimalistic implementation of transformer based video generation models.