← Authors

Andrea Tagliasacchi

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

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (7) πŸƒ Academic Marathon (8) 🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (83) 🧭 Keyword Pioneer 🏠 Conference Loyalist (30) πŸ† Keyword Champion (5) 🀝 Dynamic Duo (22) πŸ”¬ Deep Specialist (27) 🧬 Topic Evolution πŸ‘₯ Mega-Team (34) πŸ—ƒοΈ Keyword Collector (238) ⚑ Prolific Year (8) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club (58) πŸ”₯ Unstoppable (9)

Conferences

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

Top co-authors

Kwang Moo Yi (22) Daniel Rebain (11) Weiwei Sun (7) Soroosh Yazdani (6) Gopal Sharma (6) Thomas Funkhouser (5) Sherwin Bahmani (5) Sara Sabour (5) Cengiz Oztireli (4) David J. Fleet (4)

Research topics

Probability (1)

Keywords

3d reconstruction (12) neural radiance field (10) novel view synthesis (6) neural network (6) view synthesis (6) neural field (5) scene representation (4) generative model (4) unsupervised learning (3) implicit representation (3) diffusion model (3) self-supervised learning (3) semantic segmentation (3) 3d gaussian splatting (3) outlier detection (2) signal processing (2) image registration (2) image generation (2) optical flow (2) few-shot learning (2)

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