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20242026
most citedFakeParts: a New Family of AI-Generated DeepFakes

1 citations · 2 across the 13 of their papers we have counts for

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7 papers · 1 filter

cs.CV2026

DualHeads: Reward-tilted few-step diffusion made simple

Yuanzhi Zhu, Eleftherios Tsonis, Simo Alami Chehboune +3

Distilled diffusion models generate high-quality images in a few sampling steps, but aligning them with task requirements and human preferences is difficult. Methods developed for…

cs.CV2026

What Images Cannot Say: Language-Guided Olfactory Representation Learning

Eleftherios Tsonis, Xi Wang, Vicky Kalogeiton

Images tell us what a scene looks like, but rarely what it would feel like to be there. While recent datasets pair visual scenes with electronic-nose measurements, aligning smell s…

cs.CV2026

Chain of Evidence: Pixel-Level Visual Attribution for Iterative Retrieval-Augmented Generation

Peiyang Liu, Ziqiang Cui, Xi Wang +2

Iterative Retrieval-Augmented Generation (iRAG) has emerged as a powerful paradigm for answering complex multi-hop questions by progressively retrieving and reasoning over external…

cs.CV2026

SF20K Competition 2025: Summary and findings

Ridouane Ghermi, Xi Wang, Vicky Kalogeiton +1

This report presents the results and findings of the first edition of the Short-Films 20K (SF20K) Competition, held in conjunction with the SLoMO Workshop at ICCV 2025. The competi…

cs.CL2026

Beyond Semantic Relevance: Counterfactual Risk Minimization for Robust Retrieval-Augmented Generation

Peiyang Liu, Qiang Yan, Ziqiang Cui +3

Standard Retrieval-Augmented Generation (RAG) systems predominantly rely on semantic relevance as a proxy for utility. However, this assumption collapses in realistic decision-maki…

cs.CV2026

Diffusion Reinforcement Learning via Centered Reward Distillation

Yuanzhi Zhu, Xi Wang, Stéphane Lathuilière +1

Diffusion and flow models achieve State-Of-The-Art (SOTA) generative performance, yet many practically important behaviors such as fine-grained prompt fidelity, compositional corre…

cs.CV2026

VIGOR: VIdeo Geometry-Oriented Reward for Temporal Generative Alignment

Tengjiao Yin, Jinglei Shi, Heng Guo +1

Video diffusion models lack explicit geometric supervision during training, leading to inconsistency artifacts such as object deformation, spatial drift, and depth violations in ge…