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20202026
most citedReduce Information Loss in Transformers for Pluralistic Image Inpainting

9 citations · 54 across the 32 of their papers we have counts for

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Showing 2026Show all

7 papers · 1 filter

cs.CV2026

SPIDER: Multi-Layer Semantic Token Pruning and Adaptive Sub-Layer Skipping in Multimodal Large Language Models

Tianxiang Chen, Zhentao Tan, Zi Ye +9

Multimodal Large Language Models face significant efficiency challenges that stem from two distinct yet coupled sources: data redundancy and computational redundancy. While most me…

cs.CV2026

EraseSAE: Surgical Concept Erasure in Text-to-Video Diffusion Models via Sparse Autoencoders

Xinghao Wang, Dong Li, Wei Yu +5

Recent advances in text-to-video (T2V) diffusion models have demonstrated remarkable generative capabilities, yet their reliance on loosely curated training data raises pressing sa…

cs.CV2026

TimeSteer: Inference-Time Speech Scheduling in Joint Audio-Visual Diffusion Models

Chao Zhou, Yiling Chen, Qi Chu +3

Although pretrained joint audio-visual diffusion models offer rich control over \emph{what} to generate, they provide no explicit control over \emph{when} an utterance should occur…

cs.AI2026

Yesterday's Shield, Today's Spear: A Self-Evolving Safety Guardrail in Production

Cong Ming, Jingyi Chen, Bin Liu +4

Deployed LLM safety guardrails are predominantly static: trained once and frozen at release, while new jailbreak techniques and previously un-addressed harmful categories emerge wi…

cs.CV2026

ANFI: Rethinking Neighbor Feature Interaction in Person Re-ID

Xulin Li, Yan Lu, Bin Liu +5

In person re-identification, neighbor-based methods have achieved significant success by interacting with neighbor samples to obtain more robust representations. However, existing…

cs.CV2026

TextFake: Benchmarking AI-Generated Image Detection on Text-Rich Images

Yuning Zhang, Changtao Miao, Mingyu Liao +5

Recent AI-generated image (AIGI) detectors perform well on natural-image benchmarks, but their behavior on text-rich forgeries, such as fabricated screenshots, documents, and news…