1 citations · 1 across the 2 of their papers we have counts for
5 papers
SAM 3D: 3Dfy Anything in Images
SAM 3D Team, Xingyu Chen, Fu-Jen Chu +20
We present SAM 3D, a generative model for visually grounded 3D object reconstruction, predicting geometry, texture, and layout from a single image. SAM 3D excels in natural images,…
C2GA: A Class-Controllable Generative Augmentation Framework for Respiratory Sound Classification
Ziqi Ma, Mengyu Han, Anteng Cai +4
Background: Respiratory sound classification plays a critical role in the clinical identification of pulmonary pathologies. However, its performance is often hindered by the limite…
Out of Sight, Out of Mind? Evaluating State Evolution in Video World Models
Ziqi Ma, Mengzhan Liufu, Georgia Gkioxari
Evolutions in the world, such as water pouring or ice melting, happen regardless of being observed. Video world models generate "worlds" via 2D frame observations. Can these genera…
Feedforward 3D Editing via Text-Steerable Image-to-3D
Ziqi Ma, Hongqiao Chen, Yisong Yue +1
Recent progress in image-to-3D has opened up immense possibilities for design, AR/VR, and robotics. However, to use AI-generated 3D assets in real applications, a critical requirem…
Find Any Part in 3D
Ziqi Ma, Yisong Yue, Georgia Gkioxari
Why don't we have foundation models in 3D yet? A key limitation is data scarcity. For 3D object part segmentation, existing datasets are small in size and lack diversity. We show t…