LightVAE: Towards Compact and Efficient Video Autoencoders
cs.CV
Submitted: 2026-10-10
Updated: 2026-10-10
Code: https://github.com/ModelTC/LightVAE
Sources
- The 2019 DAVIS Challenge on VOS: Unsupervised Multi-Object Segmentation
- LTX-Video: Realtime Video Latent Diffusion
- Distilling the Knowledge in a Neural Network
- UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild
- Wan: Open and Advanced Large-Scale Video Generative Models
- TurboDiffusion: Accelerating Video Diffusion Models by 100-200 Times
- VBench-2.0: Advancing Video Generation Benchmark Suite for Intrinsic Faithfulness
- Flash-VAED: Plug-and-Play VAE Decoders for Efficient Video Generation
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