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Andrea Tagliasacchi

58 papers · 2017–2025 · 7 conferences · across top CS/AI conferences

Achievements

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Conferences

CVPR (30) ICCV (8) NIPS (8) ECCV (5) ICLR (5) ICML (1) WACV (1)

Research topics

Papers

Controlling Space and Time with Diffusion Models ICLR 2025 StochasticSplats: Stochastic Rasterization for Sorting-Free 3D Gaussian Splatting ICCV 2025 AC3D: Analyzing and Improving 3D Camera Control in Video Diffusion Transformers CVPR 2025 PIAD: Pose and Illumination agnostic Anomaly Detection CVPR 2025 Radiant Foam: Real-Time Differentiable Ray Tracing ICCV 2025 RoMo: Robust Motion Segmentation Improves Structure from Motion ICCV 2025 SMITE: Segment Me In TimE ICLR 2025 VD3D: Taming Large Video Diffusion Transformers for 3D Camera Control ICLR 2025 Accelerating Neural Field Training via Soft Mining CVPR 2024 Neural Fields as Distributions: Signal Processing Beyond Euclidean Space CVPR 2024 Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields CVPR 2024 pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction CVPR 2024 Unsupervised Keypoints from Pretrained Diffusion Models CVPR 2024 BANF: Band-Limited Neural Fields for Levels of Detail Reconstruction CVPR 2024 3D Gaussian Splatting as Markov Chain Monte Carlo NIPS 2024 4D-fy: Text-to-4D Generation Using Hybrid Score Distillation Sampling CVPR 2024 Volumetric Rendering with Baked Quadrature Fields ECCV 2024 TC4D: Trajectory-Conditioned Text-to-4D Generation ECCV 2024 "PointNeRF++: A multi-scale, point-based Neural Radiance Field" ECCV 2024 Lagrangian Hashing for Compressed Neural Field Representations ECCV 2024 NeuralBF: Neural Bilateral Filtering for Top-Down Instance Segmentation on Point Clouds WACV 2023 Unsupervised Semantic Correspondence Using Stable Diffusion NIPS 2023 Neural Fields with Hard Constraints of Arbitrary Differential Order NIPS 2023 BlendFields: Few-Shot Example-Driven Facial Modeling CVPR 2023 RobustNeRF: Ignoring Distractors With Robust Losses CVPR 2023 SparsePose: Sparse-View Camera Pose Regression and Refinement CVPR 2023 OpenScene: 3D Scene Understanding With Open Vocabularies CVPR 2023 NeuMap: Neural Coordinate Mapping by Auto-Transdecoder for Camera Localization CVPR 2023 CUF: Continuous Upsampling Filters CVPR 2023 MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures CVPR 2023 CC3D: Layout-Conditioned Generation of Compositional 3D Scenes ICCV 2023 Novel View Synthesis with Diffusion Models ICLR 2023 Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation CVPR 2022 Urban Radiance Fields CVPR 2022 Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations CVPR 2022 LOLNerf: Learn From One Look CVPR 2022 CoNeRF: Controllable Neural Radiance Fields CVPR 2022 D^2NeRF: Self-Supervised Decoupling of Dynamic and Static Objects from a Monocular Video NIPS 2022 Kubric: A Scalable Dataset Generator CVPR 2022 MetaPose: Fast 3D Pose From Multiple Views Without 3D Supervision CVPR 2022 Vector Neurons: A General Framework for SO(3)-Equivariant Networks ICCV 2021 Unsupervised Part Representation by Flow Capsules ICML 2021 MIST: Multiple Instance Spatial Transformer CVPR 2021 Canonical Capsules: Self-Supervised Capsules in Canonical Pose NIPS 2021 DeRF: Decomposed Radiance Fields CVPR 2021 COTR: Correspondence Transformer for Matching Across Images ICCV 2021 ACNe: Attentive Context Normalization for Robust Permutation-Equivariant Learning CVPR 2020 BSP-Net: Generating Compact Meshes via Binary Space Partitioning CVPR 2020 Deep Implicit Volume Compression CVPR 2020 CvxNet: Learnable Convex Decomposition CVPR 2020 CoSE: Compositional Stroke Embeddings NIPS 2020 ShapeFlow: Learnable Deformation Flows Among 3D Shapes NIPS 2020 PIE-NET: Parametric Inference of Point Cloud Edges NIPS 2020 NASA Neural Articulated Shape Approximation ECCV 2020 Linearized Multi-Sampling for Differentiable Image Transformation ICCV 2019 Volumetric Capture of Humans With a Single RGBD Camera via Semi-Parametric Learning CVPR 2019 Espresso: Efficient Forward Propagation for Binary Deep Neural Networks ICLR 2018 Low-Dimensionality Calibration Through Local Anisotropic Scaling for Robust Hand Model Personalization ICCV 2017