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From the 1 of 34 linked papers with an AI index.

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20242026
most citedMLP Memory: A Retriever-Pretrained Memory for Large Language Models

1 citations · 1 across the 8 of their papers we have counts for

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25 papers · 1 filter

cs.CV2026

Emo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment

Lancheng Gao, Ziheng Jia, Shengyan Li +4

Understanding both expressed and evoked emotions is critical for multimodal large language models (MLLMs) to achieve comprehensive affect-aware interactions. However, existing benc…

cs.CV2026

3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment

Yuke Xing, Jiarui Wang, William Gordon +3

3D Gaussian Splatting (3DGS) has become a dominant representation for real-time novel view synthesis (NVS), yet its storage footprint makes compression indispensable for practical…

cs.CV2026

DynT2I-Eval: A Dynamic Evaluation Framework for Text-to-Image Models

Juntong Wang, Jiarui Wang, Huiyu Duan +3

Existing text-to-image (T2I) benchmarks largely rely on fixed prompt sets, leaving them vulnerable to overfitting and benchmark contamination once publicly released and repeatedly…

cs.CV2025

Rectifying Latent Space for Generative Single-Image Reflection Removal

Mingjia Li, Jin Hu, Hainuo Wang +3

Single-image reflection removal is a highly ill-posed problem, where existing methods struggle to reason about the composition of corrupted regions, causing them to fail at recover…

cs.CV2025

I2I-Bench: A Comprehensive Benchmark Suite for Image-to-Image Editing Models

Juntong Wang, Jiarui Wang, Huiyu Duan +3

Image editing models are advancing rapidly, yet comprehensive evaluation remains a significant challenge. Existing image editing benchmarks generally suffer from limited task scope…

cs.CV2025

AnyTalker: Scaling Multi-Person Talking Video Generation with Interactivity Refinement

Zhizhou Zhong, Yicheng Ji, Zhe Kong +12

Recently, multi-person video generation has started to gain prominence. While a few preliminary works have explored audio-driven multi-person talking video generation, they often f…