5 citations · 5 across the 7 of their papers we have counts for
7 papers
GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control
Xingjun Wang, Lianlei Shan
We propose a method to enhance 3D Gaussian Splatting (3DGS)~\cite{Kerbl2023}, addressing challenges in initialization, optimization, and density control. Gaussian Splatting is an a…
Nexus-Gen: Unified Image Understanding, Generation, and Editing via Prefilled Autoregression in Shared Embedding Space
Hong Zhang, Zhongjie Duan, Xingjun Wang +6
Unified multimodal generative models aim to integrate image understanding and generation abilities, offering significant advantages in harnessing multimodal corpora, particularly i…
Breaking the Modality Barrier: Universal Embedding Learning with Multimodal LLMs
Tiancheng Gu, Kaicheng Yang, Ziyong Feng +6
The Contrastive Language-Image Pre-training (CLIP) framework has become a widely used approach for multimodal representation learning, particularly in image-text retrieval and clus…
EliGen: Entity-Level Controlled Image Generation with Regional Attention
Hong Zhang, Zhongjie Duan, Xingjun Wang +2
Recent advancements in diffusion models have significantly advanced text-to-image generation, yet global text prompts alone remain insufficient for achieving fine-grained control o…
Minimum Tuning to Unlock Long Output from LLMs with High Quality Data as the Key
Yingda Chen, Xingjun Wang, Jintao Huang +3
As large language models rapidly evolve to support longer context, there is a notable disparity in their capability to generate output at greater lengths. Recent study suggests tha…
SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning
Yuze Zhao, Jintao Huang, Jinghan Hu +10
Recent development in Large Language Models (LLMs) and Multi-modal Large Language Models (MLLMs) have leverage Attention-based Transformer architectures and achieved superior perfo…
FaceChain: A Playground for Human-centric Artificial Intelligence Generated Content
Yang Liu, Cheng Yu, Lei Shang +17
Recent advancement in personalized image generation have unveiled the intriguing capability of pre-trained text-to-image models on learning identity information from a collection o…