ali-vilab / CDTLinks
Official implementation for our paper: Rethinking Video Tokenization: A Conditioned Diffusion-based Approach
☆13Updated 5 months ago
Alternatives and similar repositories for CDT
Users that are interested in CDT are comparing it to the libraries listed below
Sorting:
- Diffusion Powers Video Tokenizer for Comprehension and Generation (CVPR 2025)☆81Updated 6 months ago
- Codebase for the paper-Elucidating the design space of language models for image generation☆46Updated 10 months ago
- Official implementation of Next Block Prediction: Video Generation via Semi-Autoregressive Modeling☆39Updated 7 months ago
- Exploring Representation-Aligned Latent Space for Better Generation☆16Updated 7 months ago
- Code for the paper DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents, ICML 2024☆88Updated last year
- the official repo for "D-AR: Diffusion via Autoregressive Models"☆113Updated 3 months ago
- Official PyTorch Implementation of "Latent Denoising Makes Good Visual Tokenizers"☆127Updated 2 months ago
- Official implementation of VRoPE: Rotary Position Embedding for Video Large Language Models.☆24Updated last month
- Official implementation of LaVin-DiT☆40Updated 7 months ago
- The official implementation for "MonoFormer: One Transformer for Both Diffusion and Autoregression"☆86Updated 11 months ago
- ☆23Updated 3 months ago
- Unifying Specialized Visual Encoders for Video Language Models☆22Updated 2 months ago
- ☆24Updated last year
- TIP-I2V: A Million-Scale Real Text and Image Prompt Dataset for Image-to-Video Generation☆33Updated 9 months ago
- [ICCV25] TACA: Rethinking Cross-Modal Interaction in Multimodal Diffusion Transformers☆34Updated last month
- ☆50Updated 9 months ago
- The official implementation of "Neighboring Autoregressive Modeling for Efficient Visual Generation"☆57Updated 5 months ago
- [ICLR 2025] Implementation of Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding☆42Updated 5 months ago
- ☆39Updated last year
- [arXiv: 2502.05178] QLIP: Text-Aligned Visual Tokenization Unifies Auto-Regressive Multimodal Understanding and Generation☆87Updated 6 months ago
- UniFork: Exploring Modality Alignment for Unified Multimodal Understanding and Generation☆45Updated 3 weeks ago
- [NeurIPS'25 Spotlight] Boosting Generative Image Modeling via Joint Image-Feature Synthesis☆64Updated this week
- Test-time Scaling for VAR models☆23Updated last month
- [Neurips 2024] Video Diffusion Models are Training-free Motion Interpreter and Controller☆46Updated last month
- Official Pytorch implementation for LARP: Tokenizing Videos with a Learned Autoregressive Generative Prior (ICLR 2025 Oral).☆91Updated 7 months ago
- [NeurIPS 2024] Motion Consistency Model: Accelerating Video Diffusion with Disentangled Motion-Appearance Distillation☆67Updated 10 months ago
- [CVPR'25 - Rating 555] Official PyTorch implementation of Lumos: Learning Visual Generative Priors without Text☆52Updated 6 months ago
- FQGAN: Factorized Visual Tokenization and Generation☆53Updated 5 months ago
- [CVPR 2025] HMAR: Efficient Hierarchical Masked Auto-Regressive Image Generation☆49Updated 2 months ago
- HermesFlow: Seamlessly Closing the Gap in Multimodal Understanding and Generation☆64Updated 7 months ago