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RoomPainter: View-Integrated Diffusion for Consistent Indoor Scene Texturing

CVPR 2025 · 3D vision › 3D generation · approach: Score distillation for text-to-3D · 4 citations (OpenAlex)

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Proposes RoomPainter, a zero-shot, training-free framework that adapts SDXL with multi-view integrated sampling and related-view attention to texture indoor scene meshes in two stages (room-level then per-instance repaint).

Problem

Indoor scene texture synthesis from text suffers from cross-view inconsistency and seams in per-view inpainting methods, while optimization-based methods (score distillation) are computationally expensive and unstable.

Approach

Zero-shot multi-view integrated sampling that merges per-view UV textures at each denoising step with view-weighted dynamic merging and related-view attention, followed by a per-instance repaint sampling stage that fills occluded regions while preserving global consistency.

Key results

Measured effects reported in the paper

What was changedWhereMeasuredEffect
add Related View-based Attention (ablation)RoomPainter · 3D-FRONT scenesCLIP Score (CLIP): 23.32 -> 23.47Helped
add Related View-based Attention (ablation)RoomPainter · 3D-FRONT scenesAesthetic Score (AS): 5.01 -> 5.03Helped
add Multi-View Integrated Sampling (MVIS) (ablation)RoomPainter · 3D-FRONT scenesCLIP Score (CLIP): 23.27 -> 23.47Helped
add Multi-View Integrated Sampling (MVIS) (ablation)RoomPainter · 3D-FRONT scenesAesthetic Score (AS): 5.01 -> 5.03Helped
add Multi-View Integrated Repaint Sampling (MVRS) (ablation)RoomPainter · 3D-FRONT scenesCLIP Score (CLIP): 22.39 -> 23.47Helped
add Multi-View Integrated Repaint Sampling (MVRS) (ablation)RoomPainter · 3D-FRONT scenesAesthetic Score (AS): 4.40 -> 5.03Helped
use RoomPainter instead of Text2Tex-CIndoor scene texturing · 3D-FRONT scenesCLIP Score (CLIP): 21.93 -> 23.47Helped
use RoomPainter instead of Text2Tex-CIndoor scene texturing · 3D-FRONT scenesAesthetic Score (AS): 4.85 -> 5.03Helped
use RoomPainter instead of SceneTexIndoor scene texturing · 3D-FRONT scenesGeneration time (mins): 2614.50 -> 46.00Helped

Limitations

Experimental setup

Datasets: 3D-FRONT

Benchmarks: 3D-FRONT (10 scenes, 5 text styles)

Metrics: CLIP score CLIP aesthetic score generation time (minutes)

Baselines: Text2Tex-H Text2Tex-C SceneTex

Builds on: Text2Tex TEXTure SDXL ControlNet Multi-view attention sharing (Cao et al. style)

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