ECCV 2026

LumiTokens: 3D Relighting via
Token-Space Lighting Transformation

1Northeastern University 2Adobe Research

Environment map

Lighting

Point light

Lighting

Area light

Lighting

Relight an object under diverse light types while preserving a consistent 3D appearance.

Overview

Abstract

Existing 3D relighting methods rely on explicit material decomposition, diffusion-based view-space generation, or a combination of both—requiring full recomputation for every new lighting condition. Recent latent scene representations instead compress multi-view images into compact tokens without fixed physical semantics, opening a new design space for relighting.

We present LumiTokens, a framework that formulates 3D relighting as a direct transformation on latent scene tokens, without explicit 3D representations, rendering equations, or physics-based decomposition. A Scene Token Editor jointly processes scene tokens and Plücker-parameterized light-ray tokens through self-attention, producing updated tokens that decode into multi-view-consistent relit images. A unified ray-token interface supports environment maps, point lights, and area lights.

Because the editor output remains in the same latent space as its input, LumiTokens supports progressive relighting: users can add illumination one light source at a time, with every edit composing directly in token space. Experiments show comparable or superior relighting quality to prior methods while enabling persistent, composable lighting edits.

How it works

Relighting happens inside the scene representation

Encode sparse views once, edit the latent scene with light-ray tokens, and decode any requested view.

LumiTokens architecture with a scene encoder, a light-conditioned Scene Token Editor, and a novel-view decoder.
01

Encode the scene

Posed sparse-view images are compressed into a compact set of unstructured latent scene tokens.

03

Render or keep editing

Decode a relit novel view, or feed the updated tokens back to the editor to compose another lighting change.

Results

Relighting across objects and scenes

Explore diverse lighting conditions and progressive edits. Select a lighting setup within each card to compare results.

Reference

BibTeX

@inproceedings{chen2026lumitokens,
  title     = {LumiTokens: 3D Relighting via Token-Space Lighting Transformation},
  author    = {Chen, Yiwen and Gadelha, Matheus and Jiang, Huaizu},
  booktitle = {European Conference on Computer Vision (ECCV)},
  year      = {2026}
}