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20232026
most citedOmniStyle: Filtering High Quality Style Transfer Data at Scale

1 citations · 1 across the 14 of their papers we have counts for

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5 papers · 1 filter

cs.CV2026

PIE-PS: Photometric Stereo from Physical Irradiance Event Streams

Xiangze Meng, Guangyu Li, Jing Li +4

Event cameras record asynchronous log-image-irradiance changes with microsecond latency and high dynamic range. These properties are useful for photometric stereo under moving illu…

cs.CV2026

STBridge: Shared-Target Alignment for Bridging Understanding and Generation in UMMs

Ye Wang, Hongjun Wang, Hao Fang +7

Unified multimodal models (UMMs) aim to integrate visual understanding and generation within a single architecture, but architectural unification alone does not ensure semantic con…

cs.CV2026

RealSkin: Spatio-Spectral Partial Neural Adjoint Maps for Image-to-3D Attribute Transfer

Jing Li, Yawei Luo, Xiangze Meng +3

Creating photorealistic 3D assets requires bridging the appearance gap between real-world observations and synthetic models. A promising approach is to transfer visual attributes f…

cs.CV2026

Physics-Aware 3D Gaussian Editing for Driving Scene Generation

Feng Zhou, Jian Zhang, Yuhang Sun +5

3D Gaussian Splatting (3DGS) has shown great potential in autonomous driving simulation and data generation, enabling photorealistic reconstruction and flexible scene manipulation.…

cs.CV2026

A training-free framework for high-fidelity appearance transfer via diffusion transformers

Shengrong Gu, Ye Wang, Song Wu +4

Diffusion Transformers (DiTs) excel at generation, but their global self-attention makes controllable, reference-image-based editing a distinct challenge. Unlike U-Nets, naively in…