A transformer-based neural renderer that transfers arbitrary PBR lighting to single images via shared intrinsic conditioning extracted from both multi-illumination photos and path-traced coarse 3D renders.
Luminet: Latent intrinsics meets diffusion models for indoor scene relighting
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.CV 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
AEGIR introduces explicit area-emitter modeling inside a relightable Gaussian Splatting pipeline together with a differentiable deferred renderer using multiple importance sampling and regularization to improve lighting-material decomposition.
citing papers explorer
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PIXLRelight: Controllable Relighting via Intrinsic Conditioning
A transformer-based neural renderer that transfers arbitrary PBR lighting to single images via shared intrinsic conditioning extracted from both multi-illumination photos and path-traced coarse 3D renders.
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AEGIR: Modeling Area Emitters for Indoor Inverse Rendering using Gaussian Splatting
AEGIR introduces explicit area-emitter modeling inside a relightable Gaussian Splatting pipeline together with a differentiable deferred renderer using multiple importance sampling and regularization to improve lighting-material decomposition.