RERV / VDTLinks
[ICLR2024] The official implementation of paper "VDT: General-purpose Video Diffusion Transformers via Mask Modeling", by Haoyu Lu, Guoxing Yang, Nanyi Fei, Yuqi Huo, Zhiwu Lu, Ping Luo, Mingyu Ding.
☆240Updated last year
Alternatives and similar repositories for VDT
Users that are interested in VDT are comparing it to the libraries listed below
Sorting:
- [CVPR 2024] EvalCrafter: Benchmarking and Evaluating Large Video Generation Models☆169Updated 8 months ago
- [NeurIPS 2024] CV-VAE: A Compatible Video VAE for Latent Generative Video Models☆275Updated 6 months ago
- Scaling Diffusion Transformers with Mixture of Experts☆339Updated 9 months ago
- [ICLR 2025] OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation☆304Updated 3 weeks ago
- Implementation of MagViT2 Tokenizer in Pytorch☆608Updated 5 months ago
- Pytorch implementation for the paper titled "SimpleAR: Pushing the Frontier of Autoregressive Visual Generation"☆371Updated this week
- [CVPR'23] Video Probabilistic Diffusion Models in Projected Latent Space☆317Updated last year
- ☆310Updated last week
- [ICLR 2025] Autoregressive Video Generation without Vector Quantization☆532Updated last month
- Unofficial PyTorch implementation of the VideoLDM.☆157Updated last year
- MoVQGAN - model for the image encoding and reconstruction☆240Updated last year
- Official implementation of the paper: REPA-E: Unlocking VAE for End-to-End Tuning of Latent Diffusion Transformers☆263Updated 2 months ago
- Masked Diffusion Transformer is the SOTA for image synthesis. (ICCV 2023)☆568Updated last year
- [CVPR 2024] Panda-70M: Captioning 70M Videos with Multiple Cross-Modality Teachers☆604Updated 8 months ago
- You can easily calculate FVD, PSNR, SSIM, LPIPS for evaluating the quality of generated or predicted videos.☆394Updated 5 months ago
- [CVPR 2025] 🔥 Official impl. of "TokenFlow: Unified Image Tokenizer for Multimodal Understanding and Generation".☆337Updated 3 months ago
- Code for "Diffusion Model Alignment Using Direct Preference Optimization"