TRACE: High-Fidelity 3D Scene Editing via Tangible Reconstruction and Geometry-Aligned Contextual Video Masking
TRACE: High-Fidelity 3D Scene Editing via Tangible Reconstruction and Geometry-Aligned Contextual Video Masking explores TRACE enables high-fidelity, part-level 3D scene editing by anchoring video diffusion with explicit 3D geometry, outperforming existing methods in editing versatility and structural integrity.. Commercial viability score: 7/10 in 3D Scene Editing.
BUILDER'S SANDBOX
Build This Paper
Use an AI coding agent to implement this research.
OpenAI CodexAI Agent
Lightweight coding agent in your terminal.
Claude CodeAI Agent
Agentic coding tool for terminal workflows.
AntiGravity IDEScaffolding
AI agent mindset installer and workflow scaffolder.
CursorIDE
AI-first code editor built on VS Code.
VS CodeIDE
Free, open-source editor by Microsoft.
Recommended Stack
Startup Essentials
Estimated $9K - $13K over 6-10 weeks.
See exactly what it costs to build this -- with 3 comparable funded startups.
7-day free trial. Cancel anytime.
Discover the researchers behind this paper and find similar experts.
7-day free trial. Cancel anytime.
Related Papers
- Builds On ThisGOT-Edit: Geometry-Aware Generic Object Tracking via Online Model EditingViability: 6.0
- Builds On ThisAnchorWeave: World-Consistent Video Generation with Retrieved Local Spatial MemoriesViability: 6.0
- Prior WorkTRACE: Object Motion Editing in Videos with First-Frame Trajectory GuidanceViability: 7.0
- Prior WorkGeometry-Guided Reinforcement Learning for Multi-view Consistent 3D Scene EditingViability: 7.0
- Prior WorkTRiGS: Temporal Rigid-Body Motion for Scalable 4D Gaussian Splatting