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WorldDreamer: Towards General World Models for Video Generation via Predicting Masked Tokens
Paper • 2401.09985 • Published • 17 -
CustomVideo: Customizing Text-to-Video Generation with Multiple Subjects
Paper • 2401.09962 • Published • 9 -
Inflation with Diffusion: Efficient Temporal Adaptation for Text-to-Video Super-Resolution
Paper • 2401.10404 • Published • 10 -
ActAnywhere: Subject-Aware Video Background Generation
Paper • 2401.10822 • Published • 13
Collections
Discover the best community collections!
Collections including paper arxiv:2408.10119
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EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 31 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 15 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 45 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 24
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WorldDreamer: Towards General World Models for Video Generation via Predicting Masked Tokens
Paper • 2401.09985 • Published • 17 -
CustomVideo: Customizing Text-to-Video Generation with Multiple Subjects
Paper • 2401.09962 • Published • 9 -
Inflation with Diffusion: Efficient Temporal Adaptation for Text-to-Video Super-Resolution
Paper • 2401.10404 • Published • 10 -
ActAnywhere: Subject-Aware Video Background Generation
Paper • 2401.10822 • Published • 13
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Anim-Director: A Large Multimodal Model Powered Agent for Controllable Animation Video Generation
Paper • 2408.09787 • Published • 10 -
Factorized-Dreamer: Training A High-Quality Video Generator with Limited and Low-Quality Data
Paper • 2408.10119 • Published • 17 -
ControlNeXt: Powerful and Efficient Control for Image and Video Generation
Paper • 2408.06070 • Published • 55 -
Tora: Trajectory-oriented Diffusion Transformer for Video Generation
Paper • 2407.21705 • Published • 27
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Self-Rewarding Language Models
Paper • 2401.10020 • Published • 156 -
ReFT: Reasoning with Reinforced Fine-Tuning
Paper • 2401.08967 • Published • 32 -
Tuning Language Models by Proxy
Paper • 2401.08565 • Published • 22 -
TrustLLM: Trustworthiness in Large Language Models
Paper • 2401.05561 • Published • 69
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WorldDreamer: Towards General World Models for Video Generation via Predicting Masked Tokens
Paper • 2401.09985 • Published • 17 -
CustomVideo: Customizing Text-to-Video Generation with Multiple Subjects
Paper • 2401.09962 • Published • 9 -
Inflation with Diffusion: Efficient Temporal Adaptation for Text-to-Video Super-Resolution
Paper • 2401.10404 • Published • 10 -
ActAnywhere: Subject-Aware Video Background Generation
Paper • 2401.10822 • Published • 13
-
Anim-Director: A Large Multimodal Model Powered Agent for Controllable Animation Video Generation
Paper • 2408.09787 • Published • 10 -
Factorized-Dreamer: Training A High-Quality Video Generator with Limited and Low-Quality Data
Paper • 2408.10119 • Published • 17 -
ControlNeXt: Powerful and Efficient Control for Image and Video Generation
Paper • 2408.06070 • Published • 55 -
Tora: Trajectory-oriented Diffusion Transformer for Video Generation
Paper • 2407.21705 • Published • 27
-
EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 31 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 15 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 45 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 24
-
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 156 -
ReFT: Reasoning with Reinforced Fine-Tuning
Paper • 2401.08967 • Published • 32 -
Tuning Language Models by Proxy
Paper • 2401.08565 • Published • 22 -
TrustLLM: Trustworthiness in Large Language Models
Paper • 2401.05561 • Published • 69
-
WorldDreamer: Towards General World Models for Video Generation via Predicting Masked Tokens
Paper • 2401.09985 • Published • 17 -
CustomVideo: Customizing Text-to-Video Generation with Multiple Subjects
Paper • 2401.09962 • Published • 9 -
Inflation with Diffusion: Efficient Temporal Adaptation for Text-to-Video Super-Resolution
Paper • 2401.10404 • Published • 10 -
ActAnywhere: Subject-Aware Video Background Generation
Paper • 2401.10822 • Published • 13