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VideoGen-RewardBench
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Explore and filter video generation models
Kling Team
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The Kling Team is building next-generation multimodal world models across video, audio, text, 3D, and beyond. We are continuously looking for exceptional talent to join us. Feel free to reach out!
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Papers
LatentOmni: Rethinking Omni-Modal Understanding via Unified Audio-Visual Latent Reasoning
PureCC: Pure Learning for Text-to-Image Concept Customization
models 22
KlingTeam/X-Dub
Updated • 20
KlingTeam/ShotStream
Text-to-Video • Updated • 11
KlingTeam/CamCloneMaster-Wan2.1
Updated • 13
KlingTeam/VANS
Updated • 5
KlingTeam/MultiShotMaster
Updated • 12
KlingTeam/UniVideo
Any-to-Any • Updated • 102
KlingTeam/MemFlow
Text-to-Video • Updated • 11
KlingTeam/StereoPilot
Video-to-Video • Updated • 18
KlingTeam/SVG-T2I
Text-to-Image • Updated • 34 • 32
KlingTeam/VidEmo-7B
Video-Text-to-Text • 8B • Updated • 4 • 5
datasets 13
KlingTeam/HM-World
Updated • 1.08k • 7
KlingTeam/CameraClone-Dataset
Viewer • Updated • 1.15M • 1.18k • 10
KlingTeam/Scene-Decoupled-Video-dataset
Updated • 99 • 4
KlingTeam/Emo-CFG
Preview • Updated • 107 • 3
KlingTeam/VIVID-10M
Viewer • Updated • 13M • 1.19k • 16
KlingTeam/MultiCamVideo-Dataset
Updated • 10.6k • 42
KlingTeam/Context-as-Memory-Dataset
Updated • 260 • 6
KlingTeam/UNICBench
Viewer • Updated • 968 • 410 • 2
KlingTeam/SynCamVideo-Dataset
Updated • 107 • 34
KlingTeam/FullBench
Viewer • Updated • 1.4k • 3.3k • 5