activity
20172023
most citedFlorence: A New Foundation Model for Computer Vision

342 citations · 1.7k across the 89 of their papers we have counts for

collaborators

90 papers

cs.CV2023★ 1 cited

Album Storytelling with Iterative Story-aware Captioning and Large Language Models

Munan Ning, Yujia Xie, Dongdong Chen +5

This work studies how to transform an album to vivid and coherent stories, a task we refer to as "album storytelling". While this task can help preserve memories and facilitate exp…

cs.CL2023★ 1 cited

i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data

Ziyi Yang, Mahmoud Khademi, Yichong Xu +16

The convergence of text, visual, and audio data is a key step towards human-like artificial intelligence, however the current Vision-Language-Speech landscape is dominated by encod…

cs.CV2023★ 65 cited

Uni-ControlNet: All-in-One Control to Text-to-Image Diffusion Models

Shihao Zhao, Dongdong Chen, Yen-Chun Chen +4

Text-to-Image diffusion models have made tremendous progress over the past two years, enabling the generation of highly realistic images based on open-domain text descriptions. How…

cs.CV2023

Image as First-Order Norm+Linear Autoregression: Unveiling Mathematical Invariance

Yinpeng Chen, Xiyang Dai, Dongdong Chen +4

This paper introduces a novel mathematical property applicable to diverse images, referred to as FINOLA (First-Order Norm+Linear Autoregressive). FINOLA represents each image in th…

cs.CV2023★ 7 cited

ChatVideo: A Tracklet-centric Multimodal and Versatile Video Understanding System

Junke Wang, Dongdong Chen, Chong Luo +4

Existing deep video models are limited by specific tasks, fixed input-output spaces, and poor generalization capabilities, making it difficult to deploy them in real-world scenario…

cs.CV2023★ 3 cited

AvatarCraft: Transforming Text into Neural Human Avatars with Parameterized Shape and Pose Control

Ruixiang Jiang, Can Wang, Jingbo Zhang +4

Neural implicit fields are powerful for representing 3D scenes and generating high-quality novel views, but it remains challenging to use such implicit representations for creating…