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NeRF-V AE: A geometry aware 3D scene generative model

3 Pith papers cite this work. Polarity classification is still indexing.

3 Pith papers citing it

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cs.CV 2 cs.CL 1

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2026 1 2023 2

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background 1

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contest 1

representative citing papers

Shap-E: Generating Conditional 3D Implicit Functions

cs.CV · 2023-05-03 · accept · novelty 6.0

Shap-E encodes 3D assets into implicit function parameters then uses a conditional diffusion model to generate new ones from text, enabling fast multi-representation 3D asset creation.

Predicting 3D structure by latent posterior sampling

cs.CV · 2026-05-11 · unverdicted · novelty 5.0

A two-stage method trains NeRF latents then a diffusion prior to sample posteriors for 3D reconstruction from varied observations including single-view, multi-view, noisy, sparse pixels, and sparse depth.

citing papers explorer

Showing 3 of 3 citing papers.

  • Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution cs.CL · 2023-09-28 · unverdicted · none · ref 185

    Promptbreeder evolves both task prompts and the mutation prompts that improve them using LLMs, outperforming Chain-of-Thought and Plan-and-Solve on arithmetic and commonsense reasoning benchmarks.

  • Shap-E: Generating Conditional 3D Implicit Functions cs.CV · 2023-05-03 · accept · none · ref 30

    Shap-E encodes 3D assets into implicit function parameters then uses a conditional diffusion model to generate new ones from text, enabling fast multi-representation 3D asset creation.

  • Predicting 3D structure by latent posterior sampling cs.CV · 2026-05-11 · unverdicted · none · ref 10

    A two-stage method trains NeRF latents then a diffusion prior to sample posteriors for 3D reconstruction from varied observations including single-view, multi-view, noisy, sparse pixels, and sparse depth.