activity
20232026
most citedZero-Shot Video Editing Using Off-The-Shelf Image Diffusion Models

24 citations · 24 across the 8 of their papers we have counts for

collaborators

8 papers

cs.RO2026

ME-Brain-1.0: Memory, Cognition and Action for Evolving Embodied Intelligence

Wei He, Hengtao Li, Zhongrui Yu +20

Current embodied systems largely rely on pretrained capabilities that remain fixed after deployment, limiting their ability to learn from physical interaction. We introduce MachEmb…

cs.CV2026

Dual-Pathway Geometry-Aware MLLM for Spatial Intelligence

Yufei Zheng, Xuhan Zhu, Zide Liu +9

Spatial understanding of the physical world from 2D visual inputs hinges on two complementary forms of geometric knowledge: holistic 3D structural perception and fine-grained metri…

cs.CV2026

StreamingClaw Technical Report

Jiawei Chen, Zhe Chen, Chaoqun Du +21

Emerging applications such as embodied intelligence, AI hardware, autonomous driving, and intelligent cockpits rely on a real-time perception-decision-action closed loop, posing st…

cs.AI2026

MindWatcher: Toward Smarter Multimodal Tool-Integrated Reasoning

Jiawei Chen, Xintian Shen, Lihao Zheng +43

Traditional workflow-based agents exhibit limited intelligence when addressing real-world problems requiring tool invocation. Tool-integrated reasoning (TIR) agents capable of auto…

cs.CV2025

MindGPT-4ov: An Enhanced MLLM via a Multi-Stage Post-Training Paradigm

Wei Chen, Chaoqun Du, Feng Gu +14

We present MindGPT-4ov, a multimodal large language model (MLLM) that introduces a general post-training paradigm spanning data production, model training, and efficient deployment…

cs.CV2025

LDGen: Enhancing Text-to-Image Synthesis via Large Language Model-Driven Language Representation

Pengzhi Li, Pengfei Yu, Zide Liu +5

In this paper, we introduce LDGen, a novel method for integrating large language models (LLMs) into existing text-to-image diffusion models while minimizing computational demands.…

cs.CV2024

FreeCustom: Tuning-Free Customized Image Generation for Multi-Concept Composition

Ganggui Ding, Canyu Zhao, Wen Wang +4

Benefiting from large-scale pre-trained text-to-image (T2I) generative models, impressive progress has been achieved in customized image generation, which aims to generate user-spe…

cs.CV2023★ 24 cited

Zero-Shot Video Editing Using Off-The-Shelf Image Diffusion Models

Wen Wang, Yan Jiang, Kangyang Xie +5

Large-scale text-to-image diffusion models achieve unprecedented success in image generation and editing. However, how to extend such success to video editing is unclear. Recent in…