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EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 28 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 14 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 44 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 23
Collections
Discover the best community collections!
Collections including paper arxiv:2408.13413
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Tora: Trajectory-oriented Diffusion Transformer for Video Generation
Paper • 2407.21705 • Published • 27 -
TrackGo: A Flexible and Efficient Method for Controllable Video Generation
Paper • 2408.11475 • Published • 18 -
TVG: A Training-free Transition Video Generation Method with Diffusion Models
Paper • 2408.13413 • Published • 14 -
PhysGen: Rigid-Body Physics-Grounded Image-to-Video Generation
Paper • 2409.18964 • Published • 27
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WorldDreamer: Towards General World Models for Video Generation via Predicting Masked Tokens
Paper • 2401.09985 • Published • 18 -
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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Snap Video: Scaled Spatiotemporal Transformers for Text-to-Video Synthesis
Paper • 2402.14797 • Published • 21 -
Subobject-level Image Tokenization
Paper • 2402.14327 • Published • 19 -
MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases
Paper • 2402.14905 • Published • 134 -
GPTVQ: The Blessing of Dimensionality for LLM Quantization
Paper • 2402.15319 • Published • 22
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EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 28 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 14 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 44 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 23
-
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
-
Tora: Trajectory-oriented Diffusion Transformer for Video Generation
Paper • 2407.21705 • Published • 27 -
TrackGo: A Flexible and Efficient Method for Controllable Video Generation
Paper • 2408.11475 • Published • 18 -
TVG: A Training-free Transition Video Generation Method with Diffusion Models
Paper • 2408.13413 • Published • 14 -
PhysGen: Rigid-Body Physics-Grounded Image-to-Video Generation
Paper • 2409.18964 • Published • 27
-
Snap Video: Scaled Spatiotemporal Transformers for Text-to-Video Synthesis
Paper • 2402.14797 • Published • 21 -
Subobject-level Image Tokenization
Paper • 2402.14327 • Published • 19 -
MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases
Paper • 2402.14905 • Published • 134 -
GPTVQ: The Blessing of Dimensionality for LLM Quantization
Paper • 2402.15319 • Published • 22
-
WorldDreamer: Towards General World Models for Video Generation via Predicting Masked Tokens
Paper • 2401.09985 • Published • 18 -
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