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EditSSC uses Stable Diffusion for editable 3D scene generation

By PulseAugur Editorial · [3 sources] ·

Researchers have developed EditSSC, a new method for generating and editing 3D semantic scenes using 2D Bird's Eye View (BEV) representations. This approach repurposes components from Stable Diffusion, enabling training-free editing capabilities like sketch-guided generation, inpainting, and outpainting. EditSSC demonstrates superior performance on unconditional generation compared to existing 3D-specific methods, highlighting the potential of 2D diffusion models for 3D scene manipulation. AI

IMPACT Enables more accessible and flexible 3D scene generation for applications like autonomous driving.

RANK_REASON The cluster contains a research paper describing a new method for 3D scene generation and editing.

Read on Hugging Face Daily Papers →

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COVERAGE [3]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    EditSSC: Toward Editable Semantic Occupancy Scenes with Unconditional Diffusion Models

    3D semantic scene generation is crucial for autonomous driving applications, yet most methods rely on complex 3D-specific architectures such as triplane encoders and adapted diffusion networks, limiting both their simplicity and their editing capabilities. We propose EditSSC, an …

  2. arXiv cs.CV TIER_1 English(EN) · Fatima Balde, Raoul de Charette, Alexandre Boulch ·

    EditSSC: Toward Editable Semantic Occupancy Scenes with Unconditional Diffusion Models

    arXiv:2606.09273v1 Announce Type: new Abstract: 3D semantic scene generation is crucial for autonomous driving applications, yet most methods rely on complex 3D-specific architectures such as triplane encoders and adapted diffusion networks, limiting both their simplicity and the…

  3. arXiv cs.CV TIER_1 English(EN) · Alexandre Boulch ·

    EditSSC: Toward Editable Semantic Occupancy Scenes with Unconditional Diffusion Models

    3D semantic scene generation is crucial for autonomous driving applications, yet most methods rely on complex 3D-specific architectures such as triplane encoders and adapted diffusion networks, limiting both their simplicity and their editing capabilities. We propose EditSSC, an …

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