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20172025
most citedVariational Model Inversion Attacks

32 citations · 52 across the 10 of their papers we have counts for

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6 papers · 1 filter

cs.CV2025

CanvasComposer: Personalized Group Photo Generation via a Multi-Reference Canvas

Gordon Guocheng Qian, Ruihang Zhang, Tsai-Shien Chen +11

Existing personalized image generators still struggle to preserve multiple reference identities in natural and coherent multi-human generations. To address these limitations, we pr…

cs.CV2024★ 1 cited

Interpreting the Weight Space of Customized Diffusion Models

Amil Dravid, Yossi Gandelsman, Kuan-Chieh Wang +4

We investigate the space of weights spanned by a large collection of customized diffusion models. We populate this space by creating a dataset of over 60,000 models, each of which…

cs.CV2024★ 1 cited

MoA: Mixture-of-Attention for Subject-Context Disentanglement in Personalized Image Generation

Kuan-Chieh Wang, Daniil Ostashev, Yuwei Fang +2

We introduce a new architecture for personalization of text-to-image diffusion models, coined Mixture-of-Attention (MoA). Inspired by the Mixture-of-Experts mechanism utilized in l…

cs.CV2022

NeMo: 3D Neural Motion Fields from Multiple Video Instances of the Same Action

Kuan-Chieh Wang, Zhenzhen Weng, Maria Xenochristou +4

The task of reconstructing 3D human motion has wideranging applications. The gold standard Motion capture (MoCap) systems are accurate but inaccessible to the general public due to…

cs.CV2022★ 5 cited

PROB: Probabilistic Objectness for Open World Object Detection

Orr Zohar, Kuan-Chieh Wang, Serena Yeung

Open World Object Detection (OWOD) is a new and challenging computer vision task that bridges the gap between classic object detection (OD) benchmarks and object detection in the r…

cs.CV2022

Domain Adaptive 3D Pose Augmentation for In-the-wild Human Mesh Recovery

Zhenzhen Weng, Kuan-Chieh Wang, Angjoo Kanazawa +1

The ability to perceive 3D human bodies from a single image has a multitude of applications ranging from entertainment and robotics to neuroscience and healthcare. A fundamental ch…