1st Workshop on Generative 3D Reconstruction
How to Spin an Object: First, Get the Shape Right-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kabra_2026_CVPR, author = {Kabra, Rishabh and A Hudson, Drew and van Steenkiste, Sjoerd and Carreira, Joao and Mitra, Niloy J}, title = {How to Spin an Object: First, Get the Shape Right}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {4708-4718} }
Action-guided generation of 3D functionality segmentation data-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Corsetti_2026_CVPR, author = {Corsetti, Jaime and Giuliari, Francesco and Boscaini, Davide and Hermosilla, Pedro and Pilzer, Andrea and Mei, Guofeng and Delitzas, Alexandros and Engelmann, Francis and Poiesi, Fabio}, title = {Action-guided generation of 3D functionality segmentation data}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {4677-4686} }
SPiRF4Humans: Spatio-Temporal Point Cloud Refinement Framework for Humans-
[pdf]
[bibtex]@InProceedings{Akalwadi_2026_CVPR, author = {Akalwadi, Nikhil and Kalyanshetti, Jagadeesh and Aralikatti, Vijayalaxmi Ashok and Shurapali, Shreyas and Tabib, Ramesh Ashok and Mudenagudi, Uma}, title = {SPiRF4Humans: Spatio-Temporal Point Cloud Refinement Framework for Humans}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {4738-4748} }
PersistGS: Differentiable Physics for Object Permanence in 4D Gaussian Splatting-
[pdf]
[bibtex]@InProceedings{Ramlal_2026_CVPR, author = {Ramlal, Adrian and Zelek, John S.}, title = {PersistGS: Differentiable Physics for Object Permanence in 4D Gaussian Splatting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {4687-4696} }
PhaseFlow4D: Physically Constrained 4D Beam Reconstruction via Feedback-Guided Latent Diffusion-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Scheinker_2026_CVPR, author = {Scheinker, Alexander and Plastun, Alexander and Ostroumov, Peter}, title = {PhaseFlow4D: Physically Constrained 4D Beam Reconstruction via Feedback-Guided Latent Diffusion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {4729-4737} }
TFDM: Time-Variant Frequency-Based Point Cloud Diffusion with State Space Model-
[pdf]
[supp]
[bibtex]@InProceedings{Liu_2026_CVPR, author = {Liu, Jiaxu and Li, Li and Shum, Hubert P. H. and Breckon, Toby P.}, title = {TFDM: Time-Variant Frequency-Based Point Cloud Diffusion with State Space Model}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {4667-4676} }
StaDy4D: Towards Complete 4D Static-Dynamic Reconstruction with SIGMA-
[pdf]
[bibtex]@InProceedings{Tsui_2026_CVPR, author = {Tsui, Hao-Tang and Tuan, Yu-Rou and Lai, Ethan and Wang, Chen-Yu}, title = {StaDy4D: Towards Complete 4D Static-Dynamic Reconstruction with SIGMA}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {4697-4707} }
PCM-NeRF: Probabilistic Camera Modeling for Neural Radiance Fields under Pose Uncertainty-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Venkatraman_2026_CVPR, author = {Venkatraman, Shravan and Madavan, Rakesh Raj and Venkatesh, Pavan Kumar Sathya}, title = {PCM-NeRF: Probabilistic Camera Modeling for Neural Radiance Fields under Pose Uncertainty}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {4719-4728} }

