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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.1//EN"
"http://www.w3.org/TR/xhtml11/DTD/xhtml11.dtd">
<html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en">
<head>
<meta http-equiv="Content-Type" content="text/html;charset=utf-8" />
<link rel="stylesheet" href="css/fonts_import.css" type="text/css" />
<link rel="stylesheet" href="css/cs.css" type="text/css" />
<link rel="stylesheet" href="css/content.css" type="text/css" />
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<link href="//netdna.bootstrapcdn.com/font-awesome/4.7.0/css/font-awesome.css" rel="stylesheet" />
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<title>AIM @Zhejiang University</title>
</head>
<body>
<div id="layout-content">
<h1>We are an AI Research Team at Zhejiang University</h1>
<h2>Projects</h2>
<ul>
<li><p><a href="./StreamingSwap/">From Short Clips to Real-Time Streams: Identity-Aware Supervision and Context-Efficient Generation for Video Face Swapping</a></p>
</li>
<li><p><a href="./SMA/">Spatial Memory Agent: Experience-Grounded Procedure Memory for Spatial Intelligence</a></p>
</li>
<li><p><a href="./MemDreamer/">MemDreamer: Decoupling Perception and Reasoning for Long Video Understanding via Agentic Hierarchical Graph Memory</a></p>
</li>
<li><p><a href="./reasonmatch/">ReasonMatch: Eliciting Complex Spatial Reasoning in MLLMs through Wide-Baseline Matching</a> (CVPR 2026)</p>
</li>
<li><p><a href="./Diception/">DICEPTION: A Generalist Diffusion Model for Vision Perception</a></p>
</li>
<li><p><a href="./Framer/">Framer: Interactive frame interpolation</a></p>
</li>
<li><p><a href="./FrozenRecon">3D reconstruction using pre-trained depth models</a></p>
</li>
<li><p><a href="./AutoStory">Generating comics using generative models</a> </p>
</li>
<li><p><a href="./MovieDreamer">Generating long videos using generative models</a> </p>
</li>
<li><p><a href="./GenDeF">GenDeF: Learning generative deformation field for video generation</a> </p>
</li>
<li><p><a href="./ACTIVE-o3/">ACTIVE-O3: Empowering Multimodal Large Language Models with Active Perception via GRPO</a> (ICML 2026, accepted)</p>
</li>
<li><p><a href="./FreerCustom/">FreerCustom: Training-Free Multi-Concept Customization for Image and Video Generation</a></p>
</li>
<li><p><a href="./OmniR1/">Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration</a></p>
</li>
<li><p><a href="./OmniJigsaw/">OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering</a></p>
</li>
<li><p><a href="./SegAgent/">SegAgent: Exploring Pixel Understanding Capabilities in MLLMs by Imitating Human Annotator Trajectories</a></p>
</li>
<li><p><a href="./PMLoss/">Revisiting Depth Representations for Feed-Forward 3D Gaussian Splatting</a></p>
</li>
<li><p><a href="./dLLM-MidTruth/">Time Is a Feature: Exploiting Temporal Dynamics in Diffusion Language Models</a></p></li>
<li><p><a href="./StaMo/">StaMo: Unsupervised Learning of Generalizable Robot Motion from Compact State Representation</a></p>
</li>
<li><p><a href="./LivingSwap/">LivingSwap: Preserving Source Video Realism for High-Fidelity Face Swapping</a> </p>
</li>
<li><p><a href="./EvoTokenDLM/">Beyond Hard Masks: Progressive Token Evolution for Diffusion Language Models</a> </p>
</li>
</ul>
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<div id="footer-text">
© <b>.</b>
•
last update: 19/Oct/26
•
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