activity
20222024
most citedVisual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models

189 citations · 221 across the 18 of their papers we have counts for

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Showing 2023Show all

11 papers · 1 filter

cs.CL2023★ 2 cited

EIPE-text: Evaluation-Guided Iterative Plan Extraction for Long-Form Narrative Text Generation

Wang You, Wenshan Wu, Yaobo Liang +8

Plan-and-Write is a common hierarchical approach in long-form narrative text generation, which first creates a plan to guide the narrative writing. Following this approach, several…

cs.CV2023

ORES: Open-vocabulary Responsible Visual Synthesis

Minheng Ni, Chenfei Wu, Xiaodong Wang +4

Avoiding synthesizing specific visual concepts is an essential challenge in responsible visual synthesis. However, the visual concept that needs to be avoided for responsible visua…

cs.CL2023★ 1 cited

GameEval: Evaluating LLMs on Conversational Games

Dan Qiao, Chenfei Wu, Yaobo Liang +2

The rapid advancements in large language models (LLMs) have presented challenges in evaluating those models. Existing evaluation methods are either reference-based or preference ba…

cs.CV2023★ 9 cited

DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory

Shengming Yin, Chenfei Wu, Jian Liang +4

Controllable video generation has gained significant attention in recent years. However, two main limitations persist: Firstly, most existing works focus on either text, image, or…

cs.CV2023★ 1 cited

GroundNLQ @ Ego4D Natural Language Queries Challenge 2023

Zhijian Hou, Lei Ji, Difei Gao +7

In this report, we present our champion solution for Ego4D Natural Language Queries (NLQ) Challenge in CVPR 2023. Essentially, to accurately ground in a video, an effective egocent…

cs.CV2023

ManagerTower: Aggregating the Insights of Uni-Modal Experts for Vision-Language Representation Learning

Xiao Xu, Bei Li, Chenfei Wu +6

Two-Tower Vision-Language (VL) models have shown promising improvements on various downstream VL tasks. Although the most advanced work improves performance by building bridges bet…

cs.CL2023★ 2 cited

Learning to Plan with Natural Language

Yiduo Guo, Yaobo Liang, Chenfei Wu +3

Large Language Models (LLMs) have shown remarkable performance in various basic natural language tasks. For completing the complex task, we still need a plan for the task to guide…

cs.AI2023★ 9 cited

TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs

Yaobo Liang, Chenfei Wu, Ting Song +11

Artificial Intelligence (AI) has made incredible progress recently. On the one hand, advanced foundation models like ChatGPT can offer powerful conversation, in-context learning an…

cs.CV2023★ 1 cited

NUWA-XL: Diffusion over Diffusion for eXtremely Long Video Generation

Shengming Yin, Chenfei Wu, Huan Yang +13

In this paper, we propose NUWA-XL, a novel Diffusion over Diffusion architecture for eXtremely Long video generation. Most current work generates long videos segment by segment seq…

cs.CV2023★ 189 cited

Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models

Chenfei Wu, Shengming Yin, Weizhen Qi +3

ChatGPT is attracting a cross-field interest as it provides a language interface with remarkable conversational competency and reasoning capabilities across many domains. However,…

cs.CV2023

Learning 3D Photography Videos via Self-supervised Diffusion on Single Images

Xiaodong Wang, Chenfei Wu, Shengming Yin +9

3D photography renders a static image into a video with appealing 3D visual effects. Existing approaches typically first conduct monocular depth estimation, then render the input f…