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Found 5 papers, 4 papers with code
Magic Clothing: Controllable Garment-Driven Image Synthesis
We propose Magic Clothing, a latent diffusion model (LDM)-based network architecture for an unexplored garment-driven image synthesis task.
OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-on
We present OOTDiffusion, a novel network architecture for realistic and controllable image-based virtual try-on (VTON).
State Value Generation with Prompt Learning and Self-Training for Low-Resource Dialogue State Tracking
Experimental results on the MultiWOZ 2. 1 dataset show that our method which has only less than 1 billion parameters achieves state-of-the-art performance under the data ratio settings of 5%, 10%, and 25% when limited to models under 100 billion parameters.
Using Language Models For Knowledge Acquisition in Natural Language Reasoning Problems
For a natural language problem that requires some non-trivial reasoning to solve, there are at least two ways to do it using a large language model (LLM).
MOSS: End-to-End Dialog System Framework with Modular Supervision
To utilize limited training data more efficiently, we propose Modular Supervision Network (MOSS), an encoder-decoder training framework that could incorporate supervision from various intermediate dialog system modules including natural language understanding, dialog state tracking, dialog policy learning, and natural language generation.
