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lightx2v/Hy1.5-Distill-Models
Text-to-Video • Updated • 101 • 29 -
Plan-X: Instruct Video Generation via Semantic Planning
Paper • 2511.17986 • Published • 18 -
In-Video Instructions: Visual Signals as Generative Control
Paper • 2511.19401 • Published • 32 -
The Image as Its Own Reward: Reinforcement Learning with Adversarial Reward for Image Generation
Paper • 2511.20256 • Published • 28
Collections
Discover the best community collections!
Collections including paper arxiv:2511.17986
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Arbitrary-steps Image Super-resolution via Diffusion Inversion
Paper • 2412.09013 • Published • 13 -
Deep Researcher with Test-Time Diffusion
Paper • 2507.16075 • Published • 68 -
nablaNABLA: Neighborhood Adaptive Block-Level Attention
Paper • 2507.13546 • Published • 126 -
Yume: An Interactive World Generation Model
Paper • 2507.17744 • Published • 92
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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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Flow Map Distillation Without Data
Paper • 2511.19428 • Published • 6 -
Plan-X: Instruct Video Generation via Semantic Planning
Paper • 2511.17986 • Published • 18 -
Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation
Paper • 2602.02214 • Published • 24
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StyleMaster: Stylize Your Video with Artistic Generation and Translation
Paper • 2412.07744 • Published • 20 -
Video Motion Transfer with Diffusion Transformers
Paper • 2412.07776 • Published • 17 -
ObjCtrl-2.5D: Training-free Object Control with Camera Poses
Paper • 2412.07721 • Published • 9 -
MotionShop: Zero-Shot Motion Transfer in Video Diffusion Models with Mixture of Score Guidance
Paper • 2412.05355 • Published • 8
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lightx2v/Hy1.5-Distill-Models
Text-to-Video • Updated • 101 • 29 -
Plan-X: Instruct Video Generation via Semantic Planning
Paper • 2511.17986 • Published • 18 -
In-Video Instructions: Visual Signals as Generative Control
Paper • 2511.19401 • Published • 32 -
The Image as Its Own Reward: Reinforcement Learning with Adversarial Reward for Image Generation
Paper • 2511.20256 • Published • 28
-
Flow Map Distillation Without Data
Paper • 2511.19428 • Published • 6 -
Plan-X: Instruct Video Generation via Semantic Planning
Paper • 2511.17986 • Published • 18 -
Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation
Paper • 2602.02214 • Published • 24
-
Arbitrary-steps Image Super-resolution via Diffusion Inversion
Paper • 2412.09013 • Published • 13 -
Deep Researcher with Test-Time Diffusion
Paper • 2507.16075 • Published • 68 -
nablaNABLA: Neighborhood Adaptive Block-Level Attention
Paper • 2507.13546 • Published • 126 -
Yume: An Interactive World Generation Model
Paper • 2507.17744 • Published • 92
-
StyleMaster: Stylize Your Video with Artistic Generation and Translation
Paper • 2412.07744 • Published • 20 -
Video Motion Transfer with Diffusion Transformers
Paper • 2412.07776 • Published • 17 -
ObjCtrl-2.5D: Training-free Object Control with Camera Poses
Paper • 2412.07721 • Published • 9 -
MotionShop: Zero-Shot Motion Transfer in Video Diffusion Models with Mixture of Score Guidance
Paper • 2412.05355 • Published • 8
-
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