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[ECCV 2026] ReconSplat: Generalizable 3D Scene Reconstruction Beyond Observed Views
[ECCV 2026] MessyKitchens: Contact-rich object-level3D scene reconstruction
ECCV 2026 Paper: SyncVL: Synchronizing Vision ⇔ Language Using Unsupervised Adaptation
[ECCV 2026] Extending a Large View Synthesis Model for Multi-view Panoptic Segmentation
ECCV_Identity-Preserving Human Reconstruction from a Single Image via 3D Token Inference
[ECCV 2026] Discovering Geometric Biases in 3D Face Reconstruction
ECCV2026: Generalizable Neural Reconstruction via Sparse Volumetric Representations
[ECCV 2026] Global Pose Control for Generative View Synthesis in Normalized Object Coordinate Space
CoDePose: Multi-View 3D Human Pose Estimation via Coupled 2D-3D Denoising Diffusion
Zero-Shot Novel Depth Synthesis Using 3D Foundation Models Scene Representations -ECCV 2026
[ECCV 2026] On Geometric Understanding and Learned Priors in Feed-forward 3D Reconstruction Models
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Last Updated: September 16, 2026
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Abstract: Arghya Sinha, Trishit Mukherjee, Kunal N. Chaudhury. Title: ReconSplat: Generalizable Presenting my research work accepted at the European Conference on Computer Project page: kwonyoung9120.github.io/PanopticLVSM/ Large Official video of our ECCV2026 paper: Generalizable Neural Global Pose Control for Generative On Geometric Understanding and Learned Priors in Feed-forward
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