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Collections including paper arxiv:2408.13413

about 17 hours ago

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6, 2024 • 29
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 14
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

Anim-Director: A Large Multimodal Model Powered Agent for Controllable Animation Video Generation

Paper • 2408.09787 • Published Aug 19, 2024 • 10
Factorized-Dreamer: Training A High-Quality Video Generator with Limited and Low-Quality Data

Paper • 2408.10119 • Published Aug 19, 2024 • 17
ControlNeXt: Powerful and Efficient Control for Image and Video Generation

Paper • 2408.06070 • Published Aug 12, 2024 • 55
Tora: Trajectory-oriented Diffusion Transformer for Video Generation

Paper • 2407.21705 • Published Jul 31, 2024 • 27

Snap Video: Scaled Spatiotemporal Transformers for Text-to-Video Synthesis

Paper • 2402.14797 • Published Feb 22, 2024 • 21
Subobject-level Image Tokenization

Paper • 2402.14327 • Published Feb 22, 2024 • 19
MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases

Paper • 2402.14905 • Published Feb 22, 2024 • 134
GPTVQ: The Blessing of Dimensionality for LLM Quantization

Paper • 2402.15319 • Published Feb 23, 2024 • 22

Video Transitions

TVG: A Training-free Transition Video Generation Method with Diffusion Models

Paper • 2408.13413 • Published Aug 24, 2024 • 14

Video-Gen Trajectory

Tora: Trajectory-oriented Diffusion Transformer for Video Generation

Paper • 2407.21705 • Published Jul 31, 2024 • 27
TrackGo: A Flexible and Efficient Method for Controllable Video Generation

Paper • 2408.11475 • Published Aug 21, 2024 • 18
TVG: A Training-free Transition Video Generation Method with Diffusion Models

Paper • 2408.13413 • Published Aug 24, 2024 • 14
PhysGen: Rigid-Body Physics-Grounded Image-to-Video Generation

Paper • 2409.18964 • Published Sep 27, 2024 • 27

WorldDreamer: Towards General World Models for Video Generation via Predicting Masked Tokens

Paper • 2401.09985 • Published Jan 18, 2024 • 18
CustomVideo: Customizing Text-to-Video Generation with Multiple Subjects

Paper • 2401.09962 • Published Jan 18, 2024 • 9
Inflation with Diffusion: Efficient Temporal Adaptation for Text-to-Video Super-Resolution

Paper • 2401.10404 • Published Jan 18, 2024 • 10
ActAnywhere: Subject-Aware Video Background Generation

Paper • 2401.10822 • Published Jan 19, 2024 • 13

about 17 hours ago

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6, 2024 • 29
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 14
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

Video Transitions

TVG: A Training-free Transition Video Generation Method with Diffusion Models

Paper • 2408.13413 • Published Aug 24, 2024 • 14

Anim-Director: A Large Multimodal Model Powered Agent for Controllable Animation Video Generation

Paper • 2408.09787 • Published Aug 19, 2024 • 10
Factorized-Dreamer: Training A High-Quality Video Generator with Limited and Low-Quality Data

Paper • 2408.10119 • Published Aug 19, 2024 • 17
ControlNeXt: Powerful and Efficient Control for Image and Video Generation

Paper • 2408.06070 • Published Aug 12, 2024 • 55
Tora: Trajectory-oriented Diffusion Transformer for Video Generation

Paper • 2407.21705 • Published Jul 31, 2024 • 27

Video-Gen Trajectory

Tora: Trajectory-oriented Diffusion Transformer for Video Generation

Paper • 2407.21705 • Published Jul 31, 2024 • 27
TrackGo: A Flexible and Efficient Method for Controllable Video Generation

Paper • 2408.11475 • Published Aug 21, 2024 • 18
TVG: A Training-free Transition Video Generation Method with Diffusion Models

Paper • 2408.13413 • Published Aug 24, 2024 • 14
PhysGen: Rigid-Body Physics-Grounded Image-to-Video Generation

Paper • 2409.18964 • Published Sep 27, 2024 • 27

Snap Video: Scaled Spatiotemporal Transformers for Text-to-Video Synthesis

Paper • 2402.14797 • Published Feb 22, 2024 • 21
Subobject-level Image Tokenization

Paper • 2402.14327 • Published Feb 22, 2024 • 19
MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases

Paper • 2402.14905 • Published Feb 22, 2024 • 134
GPTVQ: The Blessing of Dimensionality for LLM Quantization

Paper • 2402.15319 • Published Feb 23, 2024 • 22

WorldDreamer: Towards General World Models for Video Generation via Predicting Masked Tokens

Paper • 2401.09985 • Published Jan 18, 2024 • 18
CustomVideo: Customizing Text-to-Video Generation with Multiple Subjects

Paper • 2401.09962 • Published Jan 18, 2024 • 9
Inflation with Diffusion: Efficient Temporal Adaptation for Text-to-Video Super-Resolution

Paper • 2401.10404 • Published Jan 18, 2024 • 10
ActAnywhere: Subject-Aware Video Background Generation

Paper • 2401.10822 • Published Jan 19, 2024 • 13

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