Search Results for author:
Found 2 papers, 0 papers with code
Can Shape-Infused Joint Embeddings Improve Image-Conditioned 3D Diffusion?
We find that, while matching CLIP in generation quality and diversity, CISP substantially improves coherence with input images, underscoring the value of incorporating 3D knowledge into generative models.
IC3D: Image-Conditioned 3D Diffusion for Shape Generation
To address this limitation and enhance image-guided 3D DDPMs with augmented 3D understanding, we introduce CISP (Contrastive Image-Shape Pre-training), obtaining a well-structured image-shape joint embedding space.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
