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Autoregressive Generation Models
One-Minute Video Generation with Test-Time Training
Published:4/8/2025
Video Generation ModelsAutoregressive Generation ModelsTransformer-based Video GenerationTest-Time TrainingComplex Multi-Scene Story Generation
This paper introduces TestTime Training (TTT) layers to enhance oneminute video generation. By integrating TTT into a pretrained Transformer, the authors achieved more coherent videos from text storyboards, outperforming existing methods, despite some artifacts and efficiency
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VideoGPT: Video Generation using VQ-VAE and Transformers
Published:4/21/2021
Video Generation ModelsVQ-VAE and Transformer Combined ApplicationBAIR Robot DatasetUCF-101 DatasetAutoregressive Generation Models
This paper introduces VideoGPT, a video generation model utilizing VQVAE and a simple transformer architecture, achieving competitive sample quality with stateoftheart GANs on various datasets and providing a reproducible reference for future research.
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Hotspot-Driven Peptide Design via Multi-Fragment Autoregressive Extension
Published:11/26/2024
Hotspot-Driven Peptide DesignAutoregressive Generation ModelsPeptide Drug DevelopmentFragment-Based Peptide GenerationEnergy Density Model
PepHAR is introduced as a hotspotdriven autoregressive model for peptide design, focusing on residues with higher interaction potential. It effectively combines fragment extension and optimization to generate peptides with correct geometries, advancing peptide drug development.
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