TGRHuman: New method generates realistic 3D humans from text

Researchers have introduced TGRHuman, a new method for generating realistic 3D human models from text descriptions. This approach separates the generation of geometry and texture to overcome limitations found in existing NeRF-based techniques. TGRHuman utilizes explicit multi-view observation generation and optimization for efficient synthesis, producing high-quality, consistent 3D human geometry and detailed textures that outperform current text-to-3D human generation methods. AI

IMPACT This method could significantly improve the creation of realistic 3D assets for various applications, from gaming to virtual reality.

RANK_REASON The cluster contains a research paper detailing a new method for 3D human generation. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

• arXiv
• Diffusion Renderer
• NeRF
• TGRHuman

• paper
• model release

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →