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cs.CV2026

DIVA: Harnessing the Representation Divergence in Unified Multimodal Models for Mutual Reinforcement

Renjie Lu, Xulong Zhang, Xiaoyang Qu +2

Unified Multimodal models (UMMs) built on a single architecture have shown impressive performance in both understanding and generation. We identify a fundamental challenge that lie…

cs.CV2025

Distilling LLM Prior to Flow Model for Generalizable Agent's Imagination in Object Goal Navigation

Badi Li, Ren-jie Lu, Yu Zhou +2

The Object Goal Navigation (ObjectNav) task challenges agents to locate a specified object in an unseen environment by imagining unobserved regions of the scene. Prior approaches r…

cs.CV2025

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results

Xiaohong Liu, Xiongkuo Min, Qiang Hu +92

This paper reports on the NTIRE 2025 XGC Quality Assessment Challenge, which will be held in conjunction with the New Trends in Image Restoration and Enhancement Workshop (NTIRE) a…

cs.CV2025

Decoupled Distillation to Erase: A General Unlearning Method for Any Class-centric Tasks

Yu Zhou, Dian Zheng, Qijie Mo +3

In this work, we present DEcoupLEd Distillation To Erase (DELETE), a general and strong unlearning method for any class-centric tasks. To derive this, we first propose a theoretica…

cs.CV2024

PRET: Planning with Directed Fidelity Trajectory for Vision and Language Navigation

Renjie Lu, Jingke Meng, Wei-Shi Zheng

Vision and language navigation is a task that requires an agent to navigate according to a natural language instruction. Recent methods predict sub-goals on constructed topology ma…