Xingguang Yan

MeshTailor: Cutting Seams via Generative Mesh Traversal

Xueqi Ma, Xingguang Yan, Congyue Zhang, Hui Huang

We present MeshTailor, the first mesh-native generative framework for synthesizing edge-aligned seams on 3D surfaces. Unlike prior optimization-based or extrinsic learning-based methods, MeshTailor operates directly on the mesh graph, eliminating projection artifacts and fragile snapping heuristics. We introduce ChainingSeams, a hierarchical serialization …

MeshTailor: Cutting Seams via Generative Mesh Traversal

Xueqi Ma, Xingguang Yan, Congyue Zhang, Hui Huang

We present MeshTailor, the first mesh-native generative framework for synthesizing edge-aligned seams on 3D surfaces. Unlike prior optimization-based or extrinsic learning-based methods, MeshTailor operates directly on the mesh graph, eliminating projection artifacts and fragile snapping heuristics. We introduce ChainingSeams, a hierarchical serialization …

An Object is Worth 64×64 Pixels: Generating 3D Object via Image Diffusion

Xingguang Yan, Han-Hung Lee, Ziyu Wan, Anne Lynn S. Chang

We introduce a new approach for generating realistic 3D models with UV maps through a representation termed “Object Images.” This approach encapsulates surface geometry, appearance, and patch structures within a 64×64 pixel image, effectively converting complex 3D shapes into a more manageable …

ca, hk (code pays fourni par la source)

An Object is Worth 64x64 Pixels: Generating 3D Object via Image Diffusion

Xingguang Yan, Han-Hung Lee, Ziyu Wan

We introduce a new approach for generating realistic 3D models with UV maps through a representation termed "Object Images." This approach encapsulates surface geometry, appearance, and patch structures within a 64x64 pixel image, effectively converting complex 3D shapes into a more manageable …

CC3D: Layout-Conditioned Generation of Compositional 3D Scenes

Sherwin Bahmani, Jeong Joon Park, Despoina Paschalidou, Xingguang Yan et autres

In this work, we introduce CC3D, a conditional generative model that synthesizes complex 3D scenes conditioned on 2D semantic scene layouts, trained using single-view images. Different from most existing 3D GANs that limit their applicability to aligned single objects, we focus on …

ca, us (code pays fourni par la source)

CC3D: Layout-Conditioned Generation of Compositional 3D Scenes

Sherwin Bahmani, Jeong Joon Park, Despoina Paschalidou, Xingguang Yan et autres

In this work, we introduce CC3D, a conditional generative model that synthesizes complex 3D scenes conditioned on 2D semantic scene layouts, trained using single-view images. Different from most existing 3D GANs that limit their applicability to aligned single objects, we focus on …

ShapeFormer: Transformer-based Shape Completion via Sparse Representation

Xingguang Yan, Liqiang Lin, Niloy J. Mitra, Dani Lischinski et autres

We present ShapeFormer, a transformer-based network that produces a distribution of object completions, conditioned on incomplete, and possibly noisy, point clouds. The resultant distribution can then be sampled to generate likely completions, each exhibiting plausible shape details while being faithful to the …

cn, us, gb, il (code pays fourni par la source)

ShapeFormer: Transformer-based Shape Completion via Sparse Representation

Xingguang Yan, Liqiang Lin, Niloy J. Mitra, Dani Lischinski et autres

We present ShapeFormer, a transformer-based network that produces a distribution of object completions, conditioned on incomplete, and possibly noisy, point clouds. The resultant distribution can then be sampled to generate likely completions, each exhibiting plausible shape details while being faithful to the …

Capturing, Reconstructing, and Simulating: The UrbanScene3D Dataset

Liqiang Lin, Yilin Liu, Yue Hu, Xingguang Yan et autres

cn (code pays fourni par la source)

Capturing, Reconstructing, and Simulating: the UrbanScene3D Dataset

Liqiang Lin, Yilin Liu, Yue Hua Hu, Xingguang Yan et autres

We present UrbanScene3D, a large-scale data platform for research of urban scene perception and reconstruction. UrbanScene3D contains over 128k high-resolution images covering 16 scenes including large-scale real urban regions and synthetic cities with 136 km^2 area in total. The dataset also contains …

RPM-Net

Zihao Yan, Ruizhen Hu, Xingguang Yan, Luanmin Chen et autres

We introduce RPM-Net, a deep learning-based approach which simultaneously infers movable parts and hallucinates their motions from a single, un-segmented, and possibly partial, 3D point cloud shape. RPM-Net is a novel Recurrent Neural Network (RNN), composed of an encoder-decoder pair with interleaved …

cn, ca (code pays fourni par la source)

Transductive Zero-Shot Learning with Visual Structure Constraint

Ziyu Wan, Dongdong Chen, Yan Li, Xingguang Yan et autres

To recognize objects of the unseen classes, most existing Zero-Shot Learning(ZSL) methods first learn a compatible projection function between the common semantic space and the visual space based on the data of source seen classes, then directly apply it to the target …

gb, cn (code pays fourni par la source)