Andrea Tagliasacchi
58 papers · 2017–2025 · 7 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+15 more ↓ Show less ↑
π Cross-Pollinator (12) π Conference Polyglot (7) π Interdisciplinary Bridge π Academic Marathon (8) π Renaissance Researcher (6)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(83)
π§
Keyword Pioneer
π
Conference Loyalist
(30)
π
Keyword Champion
(5)
π€
Dynamic Duo
(22)
π¬
Deep Specialist
(27)
π§¬
Topic Evolution
π₯
Mega-Team
(34)
ποΈ
Keyword Collector
(238)
β‘
Prolific Year
(8)
π
Conference Pioneer
π
Trend Setter
π
Century Club
(58)
π₯
Unstoppable
(9)
Conferences
CVPR (30)
ICCV (8)
NIPS (8)
ECCV (5)
ICLR (5)
ICML (1)
WACV (1)
Top co-authors
Research topics
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