GTA: A Geometry-Aware Attention Mechanism for Multi-View Transformers
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Abstract (arXiv)
As transformers are equivariant to the permutation of input tokens, encoding the positional information of tokens is necessary for many tasks. However, since existing positional encoding schemes have been initially designed for NLP tasks, their suitability for vision tasks, which typically exhibit different structural properties in their data, is questionable. We argue that existing positional encoding schemes are suboptimal for 3D vision tasks, as they do not respect their underlying 3D geometric structure. Based on this hypothesis, we propose a geometry-aware attention mechanism that encodes the geometric structure of tokens as relative transformation determined by the geometric relationship between queries and key-value pairs. By evaluating on multiple novel view synthesis (NVS) datasets in the sparse wide-baseline multi-view setting, we show that our attention, called Geometric Transform Attention (GTA), improves learning efficiency and performance of state-of-the-art transformer-based NVS models without any additional learned parameters and only minor computational overhead.
Key facts. Cited by 75 papers in the map (data through 7 Oct 2026). Builds on 67 of its 84 references that are in the map. First posted on arXiv 16 Oct 2023.
Builds on
67 of 84 references.
References · 67
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- 2018Self-Attention with Relative Position Representationscited by 1,112
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- 2021Categorical Depth Distribution Network for Monocular 3D Object Detectioncited by 326
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- 2022Novel View Synthesis with Diffusion Modelscited by 299
- 2022Unifying Flow, Stereo and Depth Estimationcited by 270
- 2022Cross-view Transformers for real-time Map-view Semantic Segmentationcited by 264
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- 2020Infinite Nature: Perpetual View Generation of Natural Scenes from a Single Imagecited by 239
- 2021Geometric and Physical Quantities Improve E(3) Equivariant Message Passingcited by 225
- 2021Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representationscited by 222
- 2022Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformercited by 211
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- 2021Rethinking and Improving Relative Position Encoding for Vision Transformercited by 206
- 2022Geometric Transformer for Fast and Robust Point Cloud Registrationcited by 200
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- 2021Stereo Radiance Fields (SRF): Learning View Synthesis for Sparse Views of Novel Scenescited by 190
- 2022BEVSegFormer: Bird's Eye View Semantic Segmentation From Arbitrary Camera Rigscited by 123
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- 2022Generalizable Patch-Based Neural Renderingcited by 121
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- 2022Is Attention All That NeRF Needs?cited by 113
50 most cited of 67 All 67 (JSON)
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Citing papers per year: 2023: 2; 2024: 10; 2025: 17; 2026: 46.
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- 2026Out of Sight but Not Out of Mind: Hybrid Memory for Dynamic Video World Modelscited by 20
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- 2026BiWM: Advancing Open-Source Interactive Video World Models with Bidirectional Autoregressioncited by 5
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- 2026DecMem: Towards Minute-Long Consistent World Generation with Decoupled Memory29 May 2026
- 2026CRePE: Curved Ray Expectation Positional Encoding for Unified-Camera-Controlled Video Generation13 May 2026
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- 2026Geometry-Aware Rotary Position Embedding for Consistent Video World Model8 Feb 2026
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- 2024MVSplat360: Feed-Forward 360 Scene Synthesis from Sparse Viewscited by 111
- 2025Cameras as Relative Positional Encodingcited by 94
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- 2026VI3: Grounding Pretrained 3D Foundation Models with Inertial Cues3 Sep 2026
- 2026MeRoPE: Metric Rotary Position Embedding for Camera-Controlled Video Generation1 Sep 2026
- 2026Steering Recurrent Reasoners at Inference Time with Readout Feedback25 Aug 2026
- 2026Context-Matched Distillation: Teacher Causality for Autoregressive Video Distillation13 Aug 2026
- 2026CameraAnything: Refilming Videos with Arbitrary Camera Control27 Jul 2026
- 2026MetaView: Monocular Novel View Synthesis with Scale-Aware Implicit Geometry Priors13 Jul 2026
- 2026Global Pose Control for Generative View Synthesis in Normalized Object Coordinate Space2 Jul 2026
- 2026DPPE: Rethinking Camera-Based Positional Encoding for Scaling Multi-View Transformers30 Jun 2026
- 2026The Token Is a Group Element: On Lie-Algebra Attention over Matrix Lie Groups18 Jun 2026
12 newest of 56 All 56 (JSON)