mlsanityData to 7 Oct 2026

Towards Realistic 3D Emission Materials: Dataset, Baseline, and Evaluation for Emission Texture Generation

arXiv 2604.11006 ↗First posted 13 Apr 2026cs.CVcited by 0

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Abstract (arXiv)

3D texture generation is receiving increasing attention, as it enables the creation of realistic and aesthetic texture materials for untextured 3D meshes. However, existing 3D texture generation methods are limited to producing only a few types of non-emissive PBR materials (e.g., albedo, metallic maps and roughness maps), making them difficult to replicate highly popular styles, such as cyberpunk, failing to achieve effects like realistic LED emissions. To address this limitation, we propose a novel task, emission texture generation, which enables the synthesized 3D objects to faithfully reproduce the emission materials from input reference images. Our key contributions include: first, We construct the Objaverse-Emission dataset, the first dataset that contains 40k 3D assets with high-quality emission materials. Second, we propose EmissionGen, a novel baseline for the emission texture generation task. Third, we define detailed evaluation metrics for the emission texture generation task. Our results demonstrate significant potential for future industrial applications. Dataset will be available at https://github.com/yx345kw/EmissionGen.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 15 of its 23 references that are in the map. First posted on arXiv 13 Apr 2026.

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References · 15

  1. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
  2. 2018The Unreasonable Effectiveness of Deep Features as a Perceptual Metriccited by 11,029
  3. 2023DINOv2: Learning Robust Visual Features without Supervisioncited by 7,764
  4. 2015ShapeNet: An Information-Rich 3D Model Repositorycited by 2,880
  5. 2022Objaverse: A Universe of Annotated 3D Objectscited by 1,522
  6. 2025Seed1.5-VL Technical Reportcited by 367
  7. 2021Text2Mesh: Text-Driven Neural Stylization for Meshescited by 332
  8. 2022CLIP-Mesh: Generating textured meshes from text using pretrained image-text modelscited by 281
  9. 2025Hunyuan3D 2.1: From Images to High-Fidelity 3D Assets with Production-Ready PBR Materialcited by 157
  10. 2025HunyuanImage 3.0 Technical Reportcited by 138
  11. 2025Step1X-3D: Towards High-Fidelity and Controllable Generation of Textured 3D Assetscited by 85
  12. 2024MVPaint: Synchronized Multi-View Diffusion for Painting Anything 3Dcited by 34
3 more
  1. 2025MaterialMVP: Illumination-Invariant Material Generation via Multi-view PBR Diffusioncited by 28
  2. 2025RomanTex: Decoupling 3D-aware Rotary Positional Embedded Multi-Attention Network for Texture Synthesiscited by 20
  3. 2025Objaverse++: Curated 3D Object Dataset with Quality Annotationscited by 20

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