Representation alignment (REPA) is widely used to accelerate the training of latent-space diffusion transformers (DiTs). However, applying it to pixel-space models such as Just Image Transformers (JiT) is challenging. Our analysis reveals a pronounced representation conflict between discriminative alignment and pixel-s...
Yi Tan, Bei-Er Zhu, Si-Rui Chen et al.· 0 citations
Parametric CAD reconstruction requires recovering both precise geometry and editable modeling operations from visual observations, making it challenging under limited and ambiguous views. Existing methods mainly rely on 2D appearance cues and lack strong multi-view geometric priors. In this work, we present VGGT-CAD, a...
Chu-Nan Yu, Tianrun Chen, Fu Shen et al.· 0 citations
AnyWorld is proposed, a cross-embodiment world modeling framework that expands a single human interaction into diverse robot-native rollouts without paired human-robot demonstrations and enables independent recomposition of embodiment, viewpoint, and scene factors, allowing a single model to generate many robot-domain...
Cheng Chen, J. Bai, Jiacheng Wei et al.· 3 citations
MoWorld is the first real-time interactive World Model built on the Neural Processing Unit (NPU) and can achieves up to 50 FPS in such the devices, enabling practical and efficient deployment at scale.
Team Moxin, Deyi Ji, Tianrun Chen et al.· arXiv.org· 1 citation
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