High-fidelity 3D MRI synthesis requires both globally coherent anatomy and fine-grained voxel-level detail. Although latent diffusion makes volumetric generation tractable, its image autoencoder introduces a reconstruction bottleneck that can limit the fine detail recoverable in the final volume. We present VoxStruct3D...
Medical Image Super-Resolution (MISR) aims to enhance spatial resolution without requiring hardware modifications. Although deep learning has yielded promising results, existing paradigms face a critical trade-off: diffusion-based methods suffer from prohibitive inference latency and compromised structural fidelity, wh...
Fang Li, Ying-Long Li, Hong-Yu Wu et al.· 0 citations
Egocentric human demonstrations offer an accessible source of task experience, but differences in body scale and controller response, together with missing robot states, limit their value as humanoid training supervision. We present EgoAlign, a data-construction framework that converts these demonstrations into action...
Yi-Ming Jiang, Jin Chen, Chong-Yang Xu et al.· 0 citations
Depth can resolve appearance ambiguity in RGB-D salient object detection (SOD), yet sensor depth is not uniformly reliable. Missing regions, blurred boundaries, and structural artifacts can propagate through multimodal fusion and make an RGB-D detector less accurate than its RGB-only counterpart. Existing quality-aware...
Xue-Hao Wang, Jia-Xin Hua, Run-Mei Li et al.· 0 citations
This work designs a dual-branch query-based decoder that mitigates the blurry rendering issues of early query-based models and consistently outperforms pixel-aligned approaches in rendering fidelity.
Ying-Long Li, Donghui Shen, Xiao-Yu Zhang et al.· 1 citation
Multi-modality motion stylization presents a solution to the challenge of generating flexible, stylized motion based on multimodal style inputs. Historically, motion stylization has grappled with the difficulty of balancing content and style, often prioritizing one at the expense of the other. This paper addresses the...
Wenfeng Song, Xingliang Jin, Shuai Li et al.· IEEE Transactions on Pattern...· 0 citations
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