Fredo Durand
29 papers · 2013–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (13) π Academic Marathon (12) π Interdisciplinary Bridge π Conference Polyglot (8) π Renaissance Researcher (6)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(54)
π§
Keyword Pioneer
π§¬
Topic Evolution
π€
Dynamic Duo
(13)
π
Conference Pioneer
π
Century Club
(29)
π
Trend Setter
ποΈ
Keyword Collector
(147)
π₯
Unstoppable
(9)
β
The Questioner
Conferences
CVPR (14)
ICCV (5)
NIPS (4)
ICLR (2)
CORL (1)
ECCV (1)
NSDI (1)
WACV (1)
Top co-authors
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