SpheRoPE: Zero-Shot Optimization-Free 360 Panorama Generation with Spherical RoPE
A novel zero-shot framework injects spherical priors into pre-trained diffusion transformers for 360 panoramic generation, using spherical RoPE and semantic distortion guidance to…
Hugging Face · Daily Papers
·Or Hirschorn, Aaron Olender
·
·▲ 1 upvotes
Este artigo está em destaque na seleção diária de papers do Hugging Face, curada pela comunidade de pesquisa em IA.
Autores: Or Hirschorn, Aaron Olender, Eli Alshan, Ianir Ideses, Lior Fritz, Sagie Benaim
- 1 upvotes da comunidade
- Temas: diffusion transformers, spherical priors, equirectangular projection, spherical RoPE, rotary position embeddings, 3D Cartesian coordinates
Resumo
Resumo original (em inglês), extraído do paper:
A novel zero-shot framework injects spherical priors into pre-trained diffusion transformers for 360 panoramic generation, using spherical RoPE and semantic distortion guidance to overcome topological constraints without training or optimization.Onde ler
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