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Or Litany

40 papers · 2017–2026 · 8 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

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Papers

DiffusionHarmonizer: Bridging Neural Reconstruction and Photorealistic Simulation with Online Diffusion Enhancer CVPR 2026 InstructMix2Mix: Consistent Sparse-View Editing Through Multi-View Model Personalization CVPR 2026 Realiz3D: 3D Generation Made Photorealistic via Domain-Aware Learning CVPR 2026 A Lesson in Splats: Teacher-Guided Diffusion for 3D Gaussian Splats Generation with 2D Supervision ICCV 2025 MonSTeR: a Unified Model for Motion, Scene, Text Retrieval ICCV 2025 OmniRe: Omni Urban Scene Reconstruction ICLR 2025 3DiffTection: 3D Object Detection with Geometry-Aware Diffusion Features CVPR 2024 Approximately Piecewise E(3) Equivariant Point Networks ICLR 2024 Dynamic LiDAR Re-simulation using Compositional Neural Fields CVPR 2024 EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision ICLR 2024 The Nerfect Match: Exploring NeRF Features for Visual Localization ECCV 2024 UnScene3D: Unsupervised 3D Instance Segmentation for Indoor Scenes CVPR 2024 Zero-to-Hero: Enhancing Zero-Shot Novel View Synthesis via Attention Map Filtering NeurIPS 2024 Fast Monocular Scene Reconstruction With Global-Sparse Local-Dense Grids CVPR 2023 Neural Kernel Surface Reconstruction CVPR 2023 Neural LiDAR Fields for Novel View Synthesis ICCV 2023 Towards Viewpoint Robustness in Bird's Eye View Segmentation ICCV 2023 Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion CVPR 2023 Contrast To Divide: Self-Supervised Pre-Training for Learning With Noisy Labels WACV 2022 Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior CVPR 2022 GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images NeurIPS 2022 Language-Grounded Indoor 3D Semantic Segmentation in the Wild ECCV 2022 LION: Latent Point Diffusion Models for 3D Shape Generation NeurIPS 2022 MvDeCor: Multi-View Dense Correspondence Learning for Fine-Grained 3D Segmentation ECCV 2022 Neural Fields As Learnable Kernels for 3D Reconstruction CVPR 2022 3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection CVPR 2021 Continuous Geodesic Convolutions for Learning on 3D Shapes WACV 2021 DIB-R++: Learning to Predict Lighting and Material with a Hybrid Differentiable Renderer NeurIPS 2021 On Learning Sets of Symmetric Elements (Extended Abstract) IJCAI 2021 Representation Learning Through Latent Canonicalizations WACV 2021 Vector Neurons: A General Framework for SO(3)-Equivariant Networks ICCV 2021 Weakly Supervised Learning of Rigid 3D Scene Flow CVPR 2021 ImVoteNet: Boosting 3D Object Detection in Point Clouds With Image Votes CVPR 2020 On Learning Sets of Symmetric Elements ICML 2020 PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding ECCV 2020 Towards Precise Completion of Deformable Shapes ECCV 2020 Deep Hough Voting for 3D Object Detection in Point Clouds ICCV 2019 Unsupervised Learning of Dense Shape Correspondence CVPR 2019 Deformable Shape Completion With Graph Convolutional Autoencoders CVPR 2018 Deep Functional Maps: Structured Prediction for Dense Shape Correspondence ICCV 2017