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Found 7 papers, 4 papers with code
Four Principles for Physically Interpretable World Models
As autonomous systems are increasingly deployed in open and uncertain settings, there is a growing need for trustworthy world models that can reliably predict future high-dimensional observations.
A-SDM: Accelerating Stable Diffusion through Model Assembly and Feature Inheritance Strategies
1) For the tuning method, we design a model assembly strategy to reconstruct a lightweight model while preserving performance through distillation.
A-SDM: Accelerating Stable Diffusion through Redundancy Removal and Performance Optimization
The Stable Diffusion Model (SDM) is a popular and efficient text-to-image (t2i) generation and image-to-image (i2i) generation model.
Agent Attention: On the Integration of Softmax and Linear Attention
Specifically, the Agent Attention, denoted as a quadruple $(Q, A, K, V)$, introduces an additional set of agent tokens $A$ into the conventional attention module.
Layer-adaptive Structured Pruning Guided by Latency
Structured pruning can simplify network architecture and improve inference speed.
Augmentation-Aware Self-Supervision for Data-Efficient GAN Training
Training generative adversarial networks (GANs) with limited data is challenging because the discriminator is prone to overfitting.
Conditional GANs with Auxiliary Discriminative Classifier
Specifically, the proposed auxiliary discriminative classifier becomes generator-aware by recognizing the class-labels of the real data and the generated data discriminatively.
Ranked #1 on
Conditional Image Generation
on Tiny ImageNet
