Context Starter: This is the presentation of parer: RAP: Fast Feedforward Rendering-Free Attribute-Guided Primitive Importance Score Prediction ... We present "SPAR: Single-Pass Any-Resolution ViT for Open-Vocabulary Segmentation", our

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We present "SPAR: Single-Pass Any-Resolution ViT for Open-Vocabulary Segmentation", our This is the presentation of parer: RAP: Fast Feedforward Rendering-Free Attribute-Guided Primitive Importance Score Prediction ... Leon Liangyu Chen, Haoyu Ma, Zhipeng Fan, Ziqi Huang, Animesh Sinha, Xiaoliang Dai, Jialiang Wang, Zecheng He, Jianwei ...

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Leon Liangyu Chen, Haoyu Ma, Zhipeng Fan, Ziqi Huang, Animesh Sinha, Xiaoliang Dai, Jialiang Wang, Zecheng He, Jianwei ...

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  • Leon Liangyu Chen, Haoyu Ma, Zhipeng Fan, Ziqi Huang, Animesh Sinha, Xiaoliang Dai, Jialiang Wang, Zecheng He, Jianwei ...
  • This is the presentation of parer: RAP: Fast Feedforward Rendering-Free Attribute-Guided Primitive Importance Score Prediction ...
  • We present "SPAR: Single-Pass Any-Resolution ViT for Open-Vocabulary Segmentation", our

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CVPR 2026 Paper Pre
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CVPR 2026 Paper Pre

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Adapting In-context Generation for Enhanced Composed Image Retrieval.

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CVPR 2026 paper  |   UniT: Unified Multimodal Chain-of-Thought Test-time Scaling

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CVPR 2026: SPAR: Single-Pass Any-Resolution ViT for Open-vocabulary Segmentation

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We present "SPAR: Single-Pass Any-Resolution ViT for Open-Vocabulary Segmentation", our

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CVPR 2026 | DRP Paper Presentation

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CVPR 2026 Highlight Paper: TriLite

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CVPR 2026 paper: RAP

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This is the presentation of parer: RAP: Fast Feedforward Rendering-Free Attribute-Guided Primitive Importance Score Prediction ...

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