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E-GRPO: High Entropy Steps Drive Effective Reinforcement Learning for Flow Models
Paper • 2601.00423 • Published • 8 -
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Paper • 2601.05242 • Published • 190 -
Motion Attribution for Video Generation
Paper • 2601.08828 • Published • 65
Jongmin Kim
jmkim0309
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kakaocorp/kanana-2-30b-a3b-thinking-2601
updated
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2 days ago
paper_seminar_260121
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4 days ago
paper_seminar_260121
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lightx2v/Hy1.5-Distill-Models
Text-to-Video • Updated • 506 • 28 -
Plan-X: Instruct Video Generation via Semantic Planning
Paper • 2511.17986 • Published • 17 -
In-Video Instructions: Visual Signals as Generative Control
Paper • 2511.19401 • Published • 31 -
The Image as Its Own Reward: Reinforcement Learning with Adversarial Reward for Image Generation
Paper • 2511.20256 • Published • 27
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E-GRPO: High Entropy Steps Drive Effective Reinforcement Learning for Flow Models
Paper • 2601.00423 • Published • 8 -
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Paper • 2601.05242 • Published • 190 -
Motion Attribution for Video Generation
Paper • 2601.08828 • Published • 65
-
lightx2v/Hy1.5-Distill-Models
Text-to-Video • Updated • 506 • 28 -
Plan-X: Instruct Video Generation via Semantic Planning
Paper • 2511.17986 • Published • 17 -
In-Video Instructions: Visual Signals as Generative Control
Paper • 2511.19401 • Published • 31 -
The Image as Its Own Reward: Reinforcement Learning with Adversarial Reward for Image Generation
Paper • 2511.20256 • Published • 27
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