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LumiTokens framework enables 3D relighting via latent token transformation

Researchers have introduced LumiTokens, a novel framework for 3D relighting that operates directly on latent scene tokens. This method bypasses traditional approaches requiring explicit material decomposition or physics-based rendering equations. By treating lighting conditions as Plucker ray tokens and processing them alongside scene tokens via self-attention, LumiTokens enables progressive and composable lighting edits without recomputing the entire scene. Experiments show that LumiTokens achieves competitive relighting quality and supports intuitive, incremental illumination adjustments. AI

IMPACT Introduces a novel approach to 3D relighting that could streamline content creation and virtual environment manipulation.

RANK_REASON Academic paper detailing a new method in computer vision. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

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

LumiTokens framework enables 3D relighting via latent token transformation

COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Yiwen Chen, Matheus Gadelha, Huaizu Jiang ·

    LumiTokens: 3D Relighting via Token-Space Lighting Transformation

    arXiv:2608.18215v1 Announce Type: new Abstract: Existing 3D relighting methods operate through either explicit material decomposition, diffusion-based view-space generation, or a combination of both, requiring full recomputation for each new lighting condition. We observe that re…