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From the 1 of 9 linked papers with an AI index.

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9 papers

cs.CV2026

SVGEval: A Vision-Grounded Framework for Perceptual-Quality Benchmarking and Evaluation in Text-to-SVG Generation

Yiming Wang, Ye Chen, Hanqi Chen +1

Multimodal large models are increasingly used to generate scalable vector graphics (SVG), but reliable evaluation remains underexplored. Existing protocols are often code-centric o…

cs.CV2026

UniMoCa: Unifying Motion and Camera Controls as Visual Proxies for Faithful Human Video Generation

Liming Tan, Ye Chen, Hao Zhang +3

Controlling human motion and camera movement is essential for faithful human-oriented video generation, yet remains challenging in multi-person scenes with large body motions, occl…

cs.CV2026

World Narrative Model for Highly Controllable Video Generation: A Paradigm Shift from Pixel Sampling to Physical World Orchestration

Ye Chen, Xuanhong Chen, Yupeng Zhu +23

The paper proposes the World Narrative Model, a framework that separates the specification of a 4D physical scene (geometry, motion, camera, lighting) from pixel generation, enabli…

cs.CV2026

Differentiable Stroke Planning with Dual Parameterization for Efficient and High-Fidelity Painting Creation

Jinfan Liu, Wuze Zhang, Zhangli Hu +3

In stroke-based rendering, search methods often get trapped in local minima due to discrete stroke placement, while differentiable optimizers lack structural awareness and produce…

cs.CV2026

ProxyImg: Towards Highly-Controllable Image Representation via Hierarchical Disentangled Proxy Embedding

Ye Chen, Yupeng Zhu, Xiongzhen Zhang +4

Prevailing image representation methods, including explicit representations such as raster images and Gaussian primitives, as well as implicit representations such as latent images…

cs.CV2025

3DProxyImg: Controllable 3D-Aware Animation Synthesis from Single Image via 2D-3D Aligned Proxy Embedding

Yupeng Zhu, Xiongzhen Zhang, Ye Chen +1

3D animation is central to modern visual media, yet traditional production pipelines remain labor-intensive, expertise-demanding, and computationally expensive. Recent AIGC-based a…