Forrester Cole

21
Papers
0
Total Citations

Papers (21)

Generative Omnimatte: Learning to Decompose Video into Layers

CVPR 2025
0
citations

Motion Prompting: Controlling Video Generation with Motion Trajectories

CVPR 2025
0
citations

MegaSaM: Accurate, Fast and Robust Structure and Motion from Casual Dynamic Videos

CVPR 2025
0
citations

ExtraNeRF: Visibility-Aware View Extrapolation of Neural Radiance Fields with Diffusion Models

CVPR 2024
0
citations

WonderJourney: Going from Anywhere to Everywhere

CVPR 2024
0
citations

Synthesizing Normalized Faces From Facial Identity Features

CVPR 2017arXiv
0
citations

Unsupervised Training for 3D Morphable Model Regression

CVPR 2018arXiv
0
citations

Learning the Depths of Moving People by Watching Frozen People

CVPR 2019
0
citations

Local Deep Implicit Functions for 3D Shape

CVPR 2020arXiv
0
citations

LASR: Learning Articulated Shape Reconstruction From a Monocular Video

CVPR 2021arXiv
0
citations

Omnimatte: Associating Objects and Their Effects in Video

CVPR 2021arXiv
0
citations

DynIBaR: Neural Dynamic Image-Based Rendering

CVPR 2023arXiv
0
citations

Omnimatte3D: Associating Objects and Their Effects in Unconstrained Monocular Video

CVPR 2023
0
citations

SCOOP: Self-Supervised Correspondence and Optimization-Based Scene Flow

CVPR 2023arXiv
0
citations

Learning Shape Templates With Structured Implicit Functions

ICCV 2019
0
citations

Differentiable Surface Rendering via Non-Differentiable Sampling

ICCV 2021arXiv
0
citations

Structure and Motion from Casual Videos

ECCV 2022
0
citations

Unsupervised learning of object structure and dynamics from videos

NeurIPS 2019
0
citations

ViSER: Video-Specific Surface Embeddings for Articulated 3D Shape Reconstruction

NeurIPS 2021
0
citations

Associating Objects and Their Effects in Video through Coordination Games

NeurIPS 2022
0
citations

D^2NeRF: Self-Supervised Decoupling of Dynamic and Static Objects from a Monocular Video

NeurIPS 2022
0
citations