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Wukong's 72 Transformations: High-fidelity Textured 3D Morphing via Flow Models

NeurIPS 2025 · 3D vision › Face and shape · approach: Generative textures for 3D humans · 1 citations (OpenAlex)

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Wukong is a training-free framework for textured 3D morphing between image or text prompts that uses Trellis's rectified-flow generator, an optimal-transport barycenter with sequential initialization for shape, and similarity-guided selective token interpolation for texture.

Problem

Textured 3D morphing between two image or text prompts is under-explored; existing methods rely on manual correspondence and deformation trajectories, are limited to untextured meshes, or lack paired 3D training data.

Approach

Treat morphing as a free-support Wasserstein barycenter over flow-model condition tokens, initialize each step recursively from the previous solution to keep the path on the data manifold, and selectively retain source texture tokens where cosine similarity is high.

Key results

Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use WUKONG instead of 3DRMTextured 3D morphing · Textured 3D morphingFID: 6.36 -> 4.01Helped
Use WUKONG instead of 3DRMTextured 3D morphing · Textured 3D morphingSTP-GPT: 0.93 -> 1.00Helped
Use WUKONG instead of 3DRMTextured 3D morphing · Textured 3D morphingPPL: 3.02 -> 2.91Helped
Use WUKONG instead of 3DRMTextured 3D morphing · Textured 3D morphingV-CLIP: 0.84 -> 0.90Helped
Use WUKONG instead of 3DRMHeadspace morphing · HeadspaceFID: 6.61 -> 3.97Helped
Add recursive initialization to barycenter optimization (ablation)WUKONG shape interpolation · Shape interpolation ablationFID: 12.52 -> 4.01Helped
Replace direct linear interpolation with optimized barycenter interpolation (ablation)WUKONG shape interpolation · Shape interpolation ablationFID: 14.73 -> 4.01Helped
Use TripoSG as the backbone (ablation)WUKONG* · Shape interpolation ablationFID: 4.01 -> 4.16No clear effect
Use selective texture interpolation instead of copying source tokens without interpolation (ablation)WUKONG texture morphing · Texture interpolation ablationFID: 6.52 -> 4.20Helped
Use selective texture interpolation instead of linear texture interpolation (ablation)WUKONG texture morphing · Texture interpolation ablationSTP-GPT: 0.92 -> 1.00Helped
Use selective texture interpolation instead of copying source tokens without interpolation (ablation)WUKONG texture morphing · Texture interpolation ablationPPL: 3.04 -> 2.91Helped
Vary the similarity threshold across 0.2–0.8 (ablation)WUKONG texture interpolation · Threshold ablationFID: 4.54; 4.20; 4.17; 4.25; 4.49No clear effect

Surprising findings

Limitations

Experimental setup

Datasets: Headspace

Benchmarks: SHREC07

Metrics: FID STP-GPT SEP-GPT PPL V-CLIP GPT-4o visual plausibility score Dirichlet energy Coverage

Baselines: 3DRM MorphFlow DiffMorpher AID MV-Adapter Luma SRIF NeuroMorph TripoSG

Builds on: Trellis rectified flow DiffMorpher POT free-support barycenter

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