3 accepted papers
Despite rapid advances in 3D content generation, quality assessment for the generated 3D assets remains challenging. Existing methods mainly rely on image-based metrics and operate solely at the object level, limiting their ability to capture spatial Despite rapid advances in 3D content generation,…
Capturing geometric and material information from images remains a fundamental challenge in computer vision and graphics. Traditional optimization-based methods often require hours of computational time to reconstruct geometry, material properties, and environmental lighting from dense multi-view in…
Despite recent advances in text-to-3D generative methods there is a notable absence of reliable evaluation metrics. Existing metrics usually focus on a single criterion each such as how well the asset aligned with the input text. These metrics lack the flexibility to generalize to different evaluati…