Search Results for author:
Found 4 papers, 3 papers with code
HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data
Multi-modal Large Language Models (MLLMs) tuned on machine-generated instruction-following data have demonstrated remarkable performance in various multi-modal understanding and generation tasks.
Dancing Avatar: Pose and Text-Guided Human Motion Videos Synthesis with Image Diffusion Model
Our approach employs a pretrained T2I diffusion model to generate each video frame in an autoregressive fashion.
Interactive Data Synthesis for Systematic Vision Adaptation via LLMs-AIGCs Collaboration
Recent text-to-image generation models have shown promising results in generating high-fidelity photo-realistic images.
Visually-Prompted Language Model for Fine-Grained Scene Graph Generation in an Open World
Based on that, we further introduce a novel Entangled cross-modal prompt approach for open-world predicate scene graph generation (Epic), where models can generalize to unseen predicates in a zero-shot manner.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
