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Found 7 papers, 4 papers with code
EliGen: Entity-Level Controlled Image Generation with Regional Attention
Recent advancements in diffusion models have significantly advanced text-to-image generation, yet global text prompts alone remain insufficient for achieving fine-grained control over individual entities within an image.
Minimum Tuning to Unlock Long Output from LLMs with High Quality Data as the Key
As large language models rapidly evolve to support longer context, there is a notable disparity in their capability to generate output at greater lengths.
SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning
With support of over $300+$ LLMs and $50+$ MLLMs, SWIFT stands as the open-source framework that provide the most comprehensive support for fine-tuning large models.
FaceChain: A Playground for Human-centric Artificial Intelligence Generated Content
In this paper, we present FaceChain, a personalized portrait generation framework that combines a series of customized image-generation model and a rich set of face-related perceptual understanding models (\eg, face detection, deep face embedding extraction, and facial attribute recognition), to tackle aforementioned challenges and to generate truthful personalized portraits, with only a handful of portrait images as input.
Rethink Long-tailed Recognition with Vision Transformers
Hence, we propose to adopt unsupervised learning to utilize long-tailed data.
M2-Net: Multi-stages Specular Highlight Detection and Removal in Multi-scenes
The framework consists of three main components, highlight feature extractor module, highlight coarse removal module, and highlight refine removal module.
HIE-SQL: History Information Enhanced Network for Context-Dependent Text-to-SQL Semantic Parsing
In this work, we propose a History Information Enhanced text-to-SQL model (HIE-SQL) to exploit context-dependence information from both history utterances and the last predicted SQL query.
