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Found 7 papers, 7 papers with code
Training-Free Efficient Video Generation via Dynamic Token Carving
Despite the remarkable generation quality of video Diffusion Transformer (DiT) models, their practical deployment is severely hindered by extensive computational requirements.
Magic Mirror: ID-Preserved Video Generation in Video Diffusion Transformers
We present Magic Mirror, a framework for generating identity-preserved videos with cinematic-level quality and dynamic motion.
Lyra: An Efficient and Speech-Centric Framework for Omni-Cognition
As Multi-modal Large Language Models (MLLMs) evolve, expanding beyond single-domain capabilities is essential to meet the demands for more versatile and efficient AI.
Ranked #1 on
Visual Question Answering (VQA)
on EgoSchema
Biathlon: Harnessing Model Resilience for Accelerating ML Inference Pipelines
Recent literature on interpretable machine learning reveals that most machine learning models exhibit a notable degree of resilience to variations in input.
Real-World Image Variation by Aligning Diffusion Inversion Chain
Our pipeline enhances the generation quality of image variations by aligning the image generation process to the source image's inversion chain.
Rebalanced Siamese Contrastive Mining for Long-Tailed Recognition
Given the promising performance of contrastive learning, we propose Rebalanced Siamese Contrastive Mining (ResCom) to tackle imbalanced recognition.
Ranked #5 on
Long-tail Learning
on CIFAR-10-LT (ρ=10)
Dash: Scalable Hashing on Persistent Memory
Byte-addressable persistent memory (PM) brings hash tables the potential of low latency, cheap persistence and instant recovery.
Databases
