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