192 results on '"Siddhartha Chaudhuri"'
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2. DECOLLAGE: 3D Detailization by Controllable, Localized, and Learned Geometry Enhancement.
3. Diaquabis(nicotinamide-κN1)bis(thiocyanato-κS)cobalt(II)
4. Learning to Infer Generative Template Programs for Visual Concepts.
5. Unsupervised 3D Shape Reconstruction by Part Retrieval and Assembly.
6. Explorable Mesh Deformation Subspaces from Unstructured 3D Generative Models.
7. GEM3D: GEnerative Medial Abstractions for 3D Shape Synthesis.
8. GLASS: Geometric Latent Augmentation for Shape Spaces.
9. The Shape Part Slot Machine: Contact-Based Reasoning for Generating 3D Shapes from Parts.
10. PatchRD: Detail-Preserving Shape Completion by Learning Patch Retrieval and Deformation.
11. ERGOBOSS: onomic ptimization of dy-upporting urfaces.
12. Neural jacobian fields: learning intrinsic mappings of arbitrary meshes.
13. Explorable Mesh Deformation Subspaces from Unstructured Generative Models.
14. Fast Complementary Dynamics via Skinning Eigenmodes.
15. BuildingNet: Learning to Label 3D Buildings.
16. Temporally-Coherent Surface Reconstruction via Metric-Consistent Atlases.
17. DECOR-GAN: 3D Shape Detailization by Conditional Refinement.
18. Joint Learning of 3D Shape Retrieval and Deformation.
19. A Unified Batch Selection Policy for Active Metric Learning.
20. Neural Cages for Detail-Preserving 3D Deformations.
21. AdaCoSeg: Adaptive Shape Co-Segmentation With Group Consistency Loss.
22. Affinity Graph Supervision for Visual Recognition.
23. Batch Decorrelation for Active Metric Learning.
24. ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds.
25. Motion Annotation Programs: A Scalable Approach to Annotating Kinematic Articulations in Large 3D Shape Collections.
26. COALESCE: Component Assembly by Learning to Synthesize Connections.
27. BAE-NET: Branched Autoencoder for Shape Co-Segmentation.
28. Shape Unicode: A Unified Shape Representation.
29. PerceptNet: Learning Perceptual Similarity of Haptic Textures in Presence of Unorderable Triplets.
30. Learning Generative Models of 3D Structures.
31. Learning Generative Models of 3D Structures.
32. Tags2Parts: Discovering Semantic Regions From Shape Tags.
33. Learning Material-Aware Local Descriptors for 3D Shapes.
34. Maximizing Conditional Entropy for Batch-Mode Active Learning of Perceptual Metrics.
35. Temporally-Consistent Surface Reconstruction using Metrically-Consistent Atlases.
36. The Shape Part Slot Machine: Contact-based Reasoning for Generating 3D Shapes from Parts.
37. GLASS: Geometric Latent Augmentation for Shape Spaces.
38. ReGroup: Recursive Neural Networks for Hierarchical Grouping of Vector Graphic Primitives.
39. GRAINS: Generative Recursive Autoencoders for INdoor Scenes.
40. 3D Shape Segmentation with Projective Convolutional Networks.
41. ERGOBOSS: onomic ptimization of dy-upporting urfaces
42. Neural Subdivision.
43. DECOR-GAN: 3D Shape Detailization by Conditional Refinement.
44. Generalizing Across Domains via Cross-Gradient Training.
45. GRASS: generative recursive autoencoders for shape structures.
46. Complementme: weakly-supervised component suggestions for 3D modeling.
47. CoSegNet: Deep Co-Segmentation of 3D Shapes with Group Consistency Loss.
48. Neural Cages for Detail-Preserving 3D Deformations.
49. FAN: Focused Attention Networks.
50. CustomCut: On-demand Extraction of Customized 3D Parts with 2D Sketches.
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