research
∙
08/31/2023
TouchStone: Evaluating Vision-Language Models by Language Models
Large vision-language models (LVLMs) have recently witnessed rapid advan...
share
research
∙
08/24/2023
Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities
We introduce the Qwen-VL series, a set of large-scale vision-language mo...
research
∙
05/18/2023
ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities
In this work, we explore a scalable way for building a general represent...
research
∙
12/08/2022
OFASys: A Multi-Modal Multi-Task Learning System for Building Generalist Models
Generalist models, which are capable of performing diverse multi-modal t...
research
∙
12/06/2022
Pretrained Diffusion Models for Unified Human Motion Synthesis
Generative modeling of human motion has broad applications in computer a...
research
∙
07/19/2022
Single Stage Virtual Try-on via Deformable Attention Flows
Virtual try-on aims to generate a photo-realistic fitting result given a...
research
∙
05/24/2022
M6-Fashion: High-Fidelity Multi-modal Image Generation and Editing
The fashion industry has diverse applications in multi-modal image gener...
research
∙
02/07/2022
Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework
In this work, we pursue a unified paradigm for multimodal pretraining to...
research
∙
05/31/2021
Connecting Language and Vision for Natural Language-Based Vehicle Retrieval
Vehicle search is one basic task for the efficient traffic management in...
research
∙
03/30/2021
Dense Relation Distillation with Context-aware Aggregation for Few-Shot Object Detection
Conventional deep learning based methods for object detection require a ...
research
∙
07/19/2020
Class-wise Dynamic Graph Convolution for Semantic Segmentation
Recent works have made great progress in semantic segmentation by exploi...
research
∙
11/26/2018
