D3DR optimizes inserted 3DGS objects with a DDS-inspired diffusion objective plus a new personalization step to match scene lighting, reporting 2 dB PSNR gain over prior methods.
High-resolution image synthesis with latent diffusion models
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
years
2025 2verdicts
UNVERDICTED 2representative citing papers
GCLIP improves TF-OVSS by reshaping last-block attention via fusion of global-token block attention with Query-Query attention and applying channel suppression to Value embeddings, outperforming prior methods on five benchmarks.
citing papers explorer
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Diffusion Models are Secretly Zero-Shot 3DGS Harmonizers
D3DR optimizes inserted 3DGS objects with a DDS-inspired diffusion objective plus a new personalization step to match scene lighting, reporting 2 dB PSNR gain over prior methods.
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Rethinking the Global Knowledge of CLIP in Training-Free Open-Vocabulary Semantic Segmentation
GCLIP improves TF-OVSS by reshaping last-block attention via fusion of global-token block attention with Query-Query attention and applying channel suppression to Value embeddings, outperforming prior methods on five benchmarks.