Realiz3D decouples visual domain from 3D controls in diffusion models via domain-aware residual adapters to enable photorealistic controllable generation.
Appreciate the view: A task-aware evaluation framework for novel view synthesis.arXiv preprint arXiv:2511.12675, 2025
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2representative citing papers
Introduces a robustness benchmark for multiview 3D consistency and COLMAP-based metrics that better detect hallucinations in 3D foundation models than existing neural metrics.
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Realiz3D: 3D Generation Made Photorealistic via Domain-Aware Learning
Realiz3D decouples visual domain from 3D controls in diffusion models via domain-aware residual adapters to enable photorealistic controllable generation.
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Can These Views Be One Scene? Evaluating Multiview 3D Consistency when 3D Foundation Models Hallucinate
Introduces a robustness benchmark for multiview 3D consistency and COLMAP-based metrics that better detect hallucinations in 3D foundation models than existing neural metrics.