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From the 1 of 11 linked papers with an AI index.

activity
20242026
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11 papers

cs.CV2026

RIDGE: Re-Noising with Internal Dynamic Guidance for Image Editing

Ruiliang Gong, Zhen Wang, Yanghao Wang +1

Inversion-free flow-based image editing avoids latent inversion, but still requires a target-side state at every editing step. The widely used equal-displacement construction keeps…

cs.CV2026

ReBind: Multi-Reference Video Editing via Structured Instructions with Explicit Reference Relationships

Xinyu Liu, Shihao Li, Weihong Lin +10

The paper introduces ReBind, a framework that uses structured instructions with explicit reference tokens to improve multi‑reference image‑conditioned video editing, enabling preci…

cs.CV2026

FlowCIR: Semantic Transport via Flow Matching for Zero-Shot Composed Image Retrieval

Zhenqi He, Ziqi Jiang, Yuanpei Liu +3

Zero-shot composed image retrieval (ZS-CIR) aims to retrieve a target image by editing a reference image with a natural-language instruction, without relying on domain-specific ann…

cs.CV2026

LISA: Likelihood Score Alignment for Visual-condition Controllable Generation

Yanghao Wang, Hongxu Chen, Jiazhen Liu +4

The prevalent dual-branch paradigm, i.e., training a side network to encode visual conditions and fusing its intermediate-layer features to a frozen pretrained main network, has sh…

cs.CV2026

Exploring Cross-Modal Flows for Few-Shot Learning

Ziqi Jiang, Yanghao Wang, Long Chen

Aligning features from different modalities, is one of the most fundamental challenges for cross-modal tasks. Although pre-trained vision-language models can achieve a general alig…

cs.CV2026

Coarse-Guided Visual Generation via Weighted h-Transform Sampling

Yanghao Wang, Ziqi Jiang, Zhen Wang +1

Coarse-guided visual generation, which synthesizes fine visual samples from degraded or low-fidelity coarse references, is essential for various real-world applications. While trai…