Research map / 3D vision / Face and shape
ShapeTalk: A Language Dataset and Framework for 3D Shape Edits and Deformations
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use ChangeIt3D instead of Neighbor-Search | PC-AE shape editing · Chairs, tables, and lamps | LAB: 12.0 -> 35.1 | Helped |
| Use ChangeIt3D instead of the Monolithic model | PC-AE shape editing · Chairs, tables, and lamps | GD: 0.76 -> 0.33 | Helped |
| Use ChangeIt3D instead of Neighbor-Search | PC-AE shape editing · Chairs, tables, and lamps | l-GD: 1.02 -> 0.99 | Helped |
| Decouple the edit latent into a direction and magnitude (ablation) | ChangeIt3D · Chairs, tables, and lamps | GD: 0.45 -> 0.33 | Helped |
| Use self-contrast against the original input instead of a separate ground-truth target (ablation) | ChangeIt3D · Chairs, tables, and lamps | GD: 0.43 -> 0.33 | Helped |
| Use self-contrast against the original input instead of a separate ground-truth target (ablation) | ChangeIt3D · Chairs, tables, and lamps | LAB: 43.5 -> 35.1 | Hurt |
| Train and evaluate the listener on all utterances for a context instead of one utterance (ablation) | ShapeTalk neural listeners · ShapeTalk test set | accuracy: 71.3 -> 81.5 | Helped |
Closest papers by meaning
- ShapeWalk: Compositional Shape Editing Through Language-Guided Chains (CVPR 2024 · similarity 0.93)
- 3D-PLOT-LLM: Part-Level Object Tokens for 3D Large Language Models (NeurIPS 2026 · similarity 0.87)
- PrEditor3D: Fast and Precise 3D Shape Editing (CVPR 2025 · similarity 0.87)
- Let Language Constrain Geometry: Vision–Language Models as Semantic and Spatial Critics for 3D Generation (ICML 2026 · similarity 0.87)
- ShapeLLM-Omni: A Native Multimodal LLM for 3D Generation and Understanding (NeurIPS 2025 · similarity 0.86)
- ShapeCraft: LLM Agents for Structured, Textured and Interactive 3D Modeling (NeurIPS 2025 · similarity 0.86)
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