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Research map / 3D vision / Face and shape

3D Paintbrush: Local Stylization of 3D Shapes with Cascaded Score Distillation

CVPR 2024 · 3D vision › Face and shape · approach: Textured mesh generation · 16 citations (OpenAlex)

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Introduces 3D Paintbrush, which jointly learns a localization map and texture map on meshes from text prompts, using Cascaded Score Distillation to supervise with all stages of DeepFloyd IF.

Problem

Local, text-driven stylization of semantic regions directly on meshes, producing texture maps with tight, detailed localizations; prior local editing methods use coarse localizations or do not operate on meshes.

Approach

Simultaneously optimize a neural localization field and neural texture field on the mesh, and distill scores from all stages of a cascaded diffusion model (Cascaded Score Distillation) with weighted per-stage gradients, plus a background texture loss to keep localizations tight.

Key results

Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use CSD instead of standard SDS (ablation)3D Paintbrush · Local editsaverage score: 4.06 -> 4.88Helped
Use stage 1 only instead of combining cascaded stages (ablation)3D Paintbrush CSD · Local mesh texturingtexture detailHurt
Use stage 2 only instead of combining cascaded stages (ablation)3D Paintbrush CSD · Local mesh texturinglocalization accuracyHurt
Combine stage 1 and stage 2 supervision (ablation)3D Paintbrush CSD · Local mesh texturingtexture detailHelped
Increase the stage 2 weight (ablation)3D Paintbrush CSD · Local mesh texturingdetail and granularityHelped
Optimize localization and texture simultaneously rather than in series (ablation)3D Paintbrush · Local mesh texturingtexture detailHelped
Optimize localization and texture independently (ablation)3D Paintbrush · Local mesh texturingtexture-localization alignmentHurt
Optimize localization first, then texture within that region (ablation)3D Paintbrush · Local mesh texturingtexture detailHurt

Limitations

Experimental setup

Metrics: average perceptual score from user study CLIP R-Precision

Baselines: 3D Highlighter SATR Latent Paint Vox-E Ours (SDS)

Builds on: Score Distillation Sampling DeepFloyd IF 3D Highlighter Latent Paint

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