NeuMesh++ advances neural implicit rendering with versatile 3D scene editing

Researchers have developed NeuMesh++, a novel mesh-based representation for neural implicit rendering that enhances editing capabilities for 3D scenes. This method disentangles geometry, texture, and semantic information onto mesh vertices, enabling versatile operations such as mesh-guided geometry editing, texture swapping, filling, painting, and semantic-guided editing. The system also incorporates techniques like local space parameterization and learnable vertex colors to improve rendering quality and texture editing fidelity, with experiments demonstrating its effectiveness on both real and synthetic datasets. AI

IMPACT Enhances 3D content creation and editing workflows with more intuitive and versatile tools.

RANK_REASON This is a research paper detailing a new method for 3D scene editing. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

• 3D Scene Reconstruction Using Omnidirectional Vision and LiDAR: A Hybrid Approach
• arXiv
• filling and painting operations
• geometry
• mesh-based representation
• mesh-guided geometry editing
• mesh vertices
• NeuMesh++
• neural implicit rendering
• Neural radiance field
• Novel View Synthesis
• semantic-guided editing
• surface roughness
• texture swapping

• paper
• product

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