Papers 3D Shape Representation
“3D Shape Representation” 태그가 달린 논문 92편 · 필터 해제
MASH: Masked Anchored SpHerical Distances for 3D Shape Representation and Generation
We introduce Masked Anchored SpHerical Distances (MASH), a novel multi-view and parametrized representation of 3D shapes. Inspired by multi-view geometry and motivated by the importance of perceptual shape understanding …
3D Shape RepresentationSurface ReconstructionSparseFlex: High-Resolution and Arbitrary-Topology 3D Shape Modeling
Creating high-fidelity 3D meshes with arbitrary topology, including open surfaces and complex interiors, remains a significant challenge. Existing implicit field methods often require costly and detail-degrading watertig…
3D Shape Generation3D Shape Modeling3D Shape RepresentationPartSDF: Part-Based Implicit Neural Representation for Composite 3D Shape Parametrization and Optimization
Accurate 3D shape representation is essential in engineering applications such as design, optimization, and simulation. In practice, engineering workflows require structured, part-aware representations, as objects are in…
3D Shape RepresentationDecoderMIRE: Matched Implicit Neural Representations
Implicit Neural Representations (INRs) are continuous function learners for conventional digital signal representations. With the aid of positional embeddings and/or exhaustively fine-tuned activation functions, INRs…
3D Shape RepresentationDictionary LearningEdge DetectionImage Inpainting+2Few-Shot Unsupervised Implicit Neural Shape Representation Learning with Spatial Adversaries
Implicit Neural Representations have gained prominence as a powerful framework for capturing complex data modalities, encompassing a wide range from 3D shapes to images and audio. Within the realm of 3D shape representat…
3D Shape RepresentationRepresentation LearningGenerative AI-based Prompt Evolution Engineering Design Optimization With Vision-Language Model
Engineering design optimization requires an efficient combination of a 3D shape representation, an optimization algorithm, and a design performance evaluation method, which is often computationally expensive. We present …
3D Shape RepresentationLanguage ModelingLanguage ModellingSelf-supervised Graph Neural Network for Mechanical CAD Retrieval
CAD (Computer-Aided Design) plays a crucial role in mechanical industry, where large numbers of similar-shaped CAD parts are often created. Efficiently reusing these parts is key to reducing design and production costs f…
3D Shape RepresentationGraph LearningGraph Neural NetworkRepresentation Learning+1Unsupervised Occupancy Learning from Sparse Point Cloud
Implicit Neural Representations have gained prominence as a powerful framework for capturing complex data modalities, encompassing a wide range from 3D shapes to images and audio. Within the realm of 3D shape representat…
3D Reconstruction3D Shape RepresentationPoint cloud reconstructionSurface ReconstructionTAMM: TriAdapter Multi-Modal Learning for 3D Shape Understanding
The limited scale of current 3D shape datasets hinders the advancements in 3D shape understanding, and motivates multi-modal learning approaches which transfer learned knowledge from data-abundant 2D image and language m…
3D Shape RepresentationRepresentation LearningZero-shot 3D classificationZero-shot 3D Point Cloud Classification+2TIFu: Tri-directional Implicit Function for High-Fidelity 3D Character Reconstruction
Recent advances in implicit function-based approaches have shown promising results in 3D human reconstruction from a single RGB image. However, these methods are not sufficient to extend to more general cases, often gene…
3D Human Reconstruction3D Reconstruction3D Shape RepresentationDiffHuman: Probabilistic Photorealistic 3D Reconstruction of Humans
We present DiffHuman a probabilistic method for photorealistic 3D human reconstruction from a single RGB image. Despite the ill-posed nature of this problem most methods are deterministic and output a single solution…
3D Human Reconstruction3D Reconstruction3D Shape RepresentationDenoisingLearning Spatially Collaged Fourier Bases for Implicit Neural Representation
Existing approaches to Implicit Neural Representation (INR) can be interpreted as a global scene representation via a linear combination of Fourier bases of different frequencies. However, such universal basis functions …
3D Reconstruction3D Shape RepresentationArcGAN: Generative Adversarial Networks for 3D Architectural Image Generation
Due to advancements in infrastructural modulations, architectural design is one of the most peculiar and tedious processes. As the technology evolves to the next phase, using some latest techniques like generative advers…
3D Architecture3D Depth Estimation3D Semantic Scene Completion from a single 2D image3D Shape Modeling+6Mosaic-SDF for 3D Generative Models
Current diffusion or flow-based generative models for 3D shapes divide to two: distilling pre-trained 2D image diffusion models, and training directly on 3D shapes. When training a diffusion or flow models on 3D shapes a…
3D Generation3D Shape RepresentationFormText to 3DEXIM: A Hybrid Explicit-Implicit Representation for Text-Guided 3D Shape Generation
This paper presents a new text-guided technique for generating 3D shapes. The technique leverages a hybrid 3D shape representation, namely EXIM, combining the strengths of explicit and implicit representations. Specifica…
3D Shape Generation3D Shape RepresentationRayDF: Neural Ray-surface Distance Fields with Multi-view Consistency
In this paper, we study the problem of continuous 3D shape representations. The majority of existing successful methods are coordinate-based implicit neural representations. However, they are inefficient to render novel …
3D Shape RepresentationASUR3D: Arbitrary Scale Upsampling and Refinement of 3D Point Clouds using Local Occupancy Fields
In this paper, we introduce ASUR3D, a novel methodology for the arbitrary-scale upsampling of 3D point clouds employing Local Occupancy Representation. Our proposed implicit occupancy representation enables efficient poi…
3D Reconstruction3D Shape Generation3D Shape RepresentationPoint Cloud Super Resolution+1On the Localization of Ultrasound Image Slices within Point Distribution Models
Thyroid disorders are most commonly diagnosed using high-resolution Ultrasound (US). Longitudinal nodule tracking is a pivotal diagnostic protocol for monitoring changes in pathological thyroid morphology. This task, how…
3D Reconstruction3D Shape RepresentationAnatomyDiagnostic+1Unpaired Multi-domain Attribute Translation of 3D Facial Shapes with a Square and Symmetric Geometric Map
While impressive progress has recently been made in image-oriented facial attribute translation, shape-oriented 3D facial attribute translation remains an unsolved issue. This is primarily limited by the lack of 3D gener…
3D Shape RepresentationAttributeGenerative Adversarial NetworkTranslationSelf-supervised Learning of Implicit Shape Representation with Dense Correspondence for Deformable Objects
Learning 3D shape representation with dense correspondence for deformable objects is a fundamental problem in computer vision. Existing approaches often need additional annotations of specific semantic domain, e.g., skel…
3D Shape RepresentationSelf-Supervised Learning