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PF-LRM: Pose-Free Large Reconstruction Model for Joint Pose and Shape Prediction
Paper • 2311.12024 • Published • 19 -
Diffusion360: Seamless 360 Degree Panoramic Image Generation based on Diffusion Models
Paper • 2311.13141 • Published • 16 -
CLIP as RNN: Segment Countless Visual Concepts without Training Endeavor
Paper • 2312.07661 • Published • 18 -
HeadCraft: Modeling High-Detail Shape Variations for Animated 3DMMs
Paper • 2312.14140 • Published • 7
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Divide-or-Conquer? Which Part Should You Distill Your LLM?
Paper • 2402.15000 • Published • 23 -
Adding NVMe SSDs to Enable and Accelerate 100B Model Fine-tuning on a Single GPU
Paper • 2403.06504 • Published • 56 -
MoAI: Mixture of All Intelligence for Large Language and Vision Models
Paper • 2403.07508 • Published • 77 -
AnyV2V: A Plug-and-Play Framework For Any Video-to-Video Editing Tasks
Paper • 2403.14468 • Published • 27
-
PF-LRM: Pose-Free Large Reconstruction Model for Joint Pose and Shape Prediction
Paper • 2311.12024 • Published • 19 -
Diffusion360: Seamless 360 Degree Panoramic Image Generation based on Diffusion Models
Paper • 2311.13141 • Published • 16 -
CLIP as RNN: Segment Countless Visual Concepts without Training Endeavor
Paper • 2312.07661 • Published • 18 -
HeadCraft: Modeling High-Detail Shape Variations for Animated 3DMMs
Paper • 2312.14140 • Published • 7
-
Divide-or-Conquer? Which Part Should You Distill Your LLM?
Paper • 2402.15000 • Published • 23 -
Adding NVMe SSDs to Enable and Accelerate 100B Model Fine-tuning on a Single GPU
Paper • 2403.06504 • Published • 56 -
MoAI: Mixture of All Intelligence for Large Language and Vision Models
Paper • 2403.07508 • Published • 77 -
AnyV2V: A Plug-and-Play Framework For Any Video-to-Video Editing Tasks
Paper • 2403.14468 • Published • 27