← Authors

Bill Freeman

20 papers · 2009–2024 · 2 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (15) 🐝 Cross-Pollinator (13) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (47) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) 🌍 Conference Polyglot (2) 🌟 Keyword Trendsetter Combo (5) 🀝 Dynamic Duo (12) 🌱 Topic Pioneer 🧬 Topic Evolution πŸ† Keyword Champion πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (122) πŸ”₯ Unstoppable (11) ⚑ Prolific Year (5) πŸ’Ž Century Club (20)

Conferences

NIPS (19) CVPR (1)

Top co-authors

Josh Tenenbaum (12) Jiajun Wu (11) Fredo Durand (4) Zhoutong Zhang (3) Antonio Torralba (3) Chengkai Zhang (3) Tianfan Xue (3) Vincent Sitzmann (2) Gregory Wornell (2) Andrew Zisserman (2)

Keywords

3d reconstruction (5) scene understanding (4) neural network (4) generative model (4) image generation (3) inverse problem (3) image synthesis (3) 3d vision (2) unsupervised learning (2) generative adversarial network (2) disentangled representation (2) physics engine (2) diffusion model (2) image editing (2) convolutional neural network (2) video generation (1) visual perception (1) matrix factorization (1) adversarial learning (1) computer vision (1)

Papers

Alchemist: Parametric Control of Material Properties with Diffusion Models CVPR 2024
Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision NIPS 2023
Associating Objects and Their Effects in Video through Coordination Games NIPS 2022
Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering NIPS 2021
Multi-Plane Program Induction with 3D Box Priors NIPS 2020
Computational Mirrors: Blind Inverse Light Transport by Deep Matrix Factorization NIPS 2019
Learning to Exploit Stability for 3D Scene Parsing NIPS 2018
Learning to Reconstruct Shapes from Unseen Classes NIPS 2018
3D-Aware Scene Manipulation via Inverse Graphics NIPS 2018
Visual Object Networks: Image Generation with Disentangled 3D Representations NIPS 2018
Co-regularized Alignment for Unsupervised Domain Adaptation NIPS 2018
MarrNet: 3D Shape Reconstruction via 2.5D Sketches NIPS 2017
Shape and Material from Sound NIPS 2017
Learning to See Physics via Visual De-animation NIPS 2017
Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks NIPS 2016
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling NIPS 2016
Galileo: Perceiving Physical Object Properties by Integrating a Physics Engine with Deep Learning NIPS 2015
Shape and Illumination from Shading using the Generic Viewpoint Assumption NIPS 2014
Segmenting Scenes by Matching Image Composites NIPS 2009
Nonparametric Bayesian Texture Learning and Synthesis NIPS 2009