Objaverse
PulseAugur coverage of Objaverse — every cluster mentioning Objaverse across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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New MSVS-VAE model advances high-fidelity 3D reconstruction
Researchers have developed MSVS-VAE, a novel hierarchical set-based Variational Autoencoder designed for high-fidelity 3D reconstruction. This model addresses the limitations of existing methods by progressively densify…
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DreamCAD framework generates editable 3D CAD models from unannotated meshes
Researchers have introduced DreamCAD, a novel multi-modal generative framework designed to create editable Boundary Representations (BReps) from 3D meshes without requiring CAD-specific annotations. The system utilizes …
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New research introduces LATO.2 and Nexus for advanced 3D mesh generation · 4 sources tracked
Two new research papers introduce advanced methods for generating 3D meshes, a critical component for applications in film, gaming, and interactive 3D environments. LATO.2 employs a factorized flow matching framework th…
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New 3D LLM '3D-PLOT-LLM' addresses object parts efficiently
Researchers have developed a new 3D multimodal large language model called 3D-PLOT-LLM that addresses the limitations of previous models in understanding and reasoning about object parts. Unlike prior approaches that re…
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New datasets aim to advance AI-assisted CAD program generation
Researchers have introduced two new datasets aimed at advancing AI-assisted Computer-Aided Design (CAD). CADBench offers a unified benchmark with 18,000 samples across six families, five input modalities, and six metric…
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New Monte Carlo method speeds 3D geometry processing and representation learning
Researchers have developed a novel Monte Carlo method to estimate the Dirichlet-to-Neumann (DtN) operator and its associated Steklov eigenmodes for geometry processing. This approach is significantly faster and more rob…
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New benchmarks assess AI's CAD program generation capabilities
Two new benchmarks, CADBench and BenchCAD, have been released to evaluate AI's ability to generate Computer-Aided Design (CAD) programs from various inputs. These benchmarks aim to standardize the assessment of multimod…
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MoCapAnything V2 enables end-to-end motion capture for arbitrary skeletons
Researchers have developed MoCapAnything V2, an end-to-end system for 3D motion capture from monocular video that accommodates arbitrary skeletons. This new framework integrates pose and rotation prediction into a singl…
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New datasets aim to improve linguistic diversity and spatial alignment for embodied AI
Two new datasets aim to improve embodied AI research by addressing limitations in existing data. One paper, "Limited Linguistic Diversity in Embodied AI Datasets," audits current corpora and finds they often use repetit…