Fredo Durand

29 papers · 2013–2025 · 8 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (8) 🏃 Academic Marathon (12) 🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (6) 🗺️ Taxonomy Completionist (54) 🧭 Keyword Pioneer 🧬 Topic Evolution 🤝 Dynamic Duo (13) 🚀 Conference Pioneer 💎 Century Club (29) 📈 Trend Setter 🗃️ Keyword Collector (147) 🔥 Unstoppable (9) ❓ The Questioner

Conferences

CVPR (14) ICCV (5) NIPS (4) ICLR (2) CORL (1) ECCV (1) NSDI (1) WACV (1)

Top co-authors

William T. Freeman (13) Prafull Sharma (5) Guha Balakrishnan (5) Gregory W. Wornell (4) Amy Zhao (4) Adrian V. Dalca (4) Miika Aittala (4) Vincent Sitzmann (4) Bill Freeman (4) Tianwei Yin (4)

Keywords

diffusion model (6) convolutional neural network (5) image generation (4) motion estimation (3) knowledge distillation (3) shadow analysis (2) light field (2) distribution matching distillation (2) novel view synthesis (2) inverse problem (2) video processing (2) computer vision (2) 3d reconstruction (2) neural implicit representation (2) probabilistic model (2) video generation (2) signal processing (2) distribution matching (2) one-step generation (2) scene understanding (1)

Papers

Cycle Consistency as Reward: Learning Image-Text Alignment without Human Preferences ICCV 2025

From Slow Bidirectional to Fast Autoregressive Video Diffusion Models CVPR 2025

Alchemist: Parametric Control of Material Properties with Diffusion Models CVPR 2024

Improved Distribution Matching Distillation for Fast Image Synthesis NIPS 2024

Gemino: Practical and Robust Neural Compression for Video Conferencing NSDI 2024

One-step Diffusion with Distribution Matching Distillation CVPR 2024

Neural Groundplans: Persistent Neural Scene Representations from a Single Image ICLR 2023

Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision NIPS 2023

Can Shadows Reveal Biometric Information? WACV 2023

Learning To Generate Line Drawings That Convey Geometry and Semantics CVPR 2022

What You Can Learn by Staring at a Blank Wall ICCV 2021

Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering NIPS 2021

Single-Shot Scene Reconstruction CORL 2021

Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings CVPR 2020

DiffTaichi: Differentiable Programming for Physical Simulation ICLR 2020

Computational Mirrors: Blind Inverse Light Transport by Deep Matrix Factorization NIPS 2019

Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions ICCV 2019

A Dataset of Multi-Illumination Images in the Wild ICCV 2019

Data Augmentation Using Learned Transformations for One-Shot Medical Image Segmentation CVPR 2019

Burst Image Deblurring Using Permutation Invariant Convolutional Neural Networks ECCV 2018

Synthesizing Images of Humans in Unseen Poses CVPR 2018

Inferring Light Fields From Shadows CVPR 2018

On the Importance of Label Quality for Semantic Segmentation CVPR 2018

Turning Corners Into Cameras: Principles and Methods ICCV 2017

Visual Vibrometry: Estimating Material Properties From Small Motion in Video CVPR 2015

Video Magnification in Presence of Large Motions CVPR 2015

The Aperture Problem for Refractive Motion CVPR 2015

Reflection Removal Using Ghosting Cues CVPR 2015

Detecting Pulse from Head Motions in Video CVPR 2013