Unsupervised Learning of Object Landmarks through Conditional Image Generation. - Tomas Jakab; Ankush Gupta 001; Hakan Bilen; Andrea Vedaldi (NeurIPS, 2018)

Conditional Image Generation for Learning the Structure of Visual Objects. - Tomas Jakab; Ankush Gupta 001; Hakan Bilen; Andrea Vedaldi (CoRR, 2018)

Learning Landmarks from Unaligned Data using Image Translation. - Tomas Jakab; Ankush Gupta 001; Hakan Bilen; Andrea Vedaldi (CoRR, 2019)

Self-Supervised Learning of Interpretable Keypoints From Unlabelled Videos. - Tomas Jakab; Ankush Gupta 001; Hakan Bilen; Andrea Vedaldi (CVPR, 2020)

KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control. - Tomas Jakab; Richard Tucker 001; Ameesh Makadia; Jiajun Wu 001; Noah Snavely; Angjoo Kanazawa (CVPR, 2021)

MagicPony: Learning Articulated 3D Animals in the Wild. - Shangzhe Wu; Ruining Li; Tomas Jakab; Christian Rupprecht 001; Andrea Vedaldi (CVPR, 2023)

Calibrated Uncertainties for Neural Radiance Fields. - Niki Amini-Naieni; Tomas Jakab; Andrea Vedaldi; Ronald Clark (CoRR, 2023)

DOVE: Learning Deformable 3D Objects by Watching Videos. - Shangzhe Wu; Tomas Jakab; Christian Rupprecht 001; Andrea Vedaldi (Int. J. Comput. Vis., 2023)

Farm3D: Learning Articulated 3D Animals by Distilling 2D Diffusion. - Tomas Jakab; Ruining Li; Shangzhe Wu; Christian Rupprecht 001; Andrea Vedaldi (3DV, 2024)

Learning the 3D Fauna of the Web. - Zizhang Li; Dor Litvak; Ruining Li; Yunzhi Zhang; Tomas Jakab; Christian Rupprecht 001; Shangzhe Wu; Andrea Vedaldi; Jiajun Wu 001 (CVPR, 2024)

Instant Uncertainty Calibration of NeRFs Using a Meta-calibrator. - Niki Amini-Naieni; Tomas Jakab; Andrea Vedaldi; Ronald Clark (ECCV (78), 2024)

Scene-Conditional 3D Object Stylization and Composition. - Jinghao Zhou; Tomas Jakab; Philip Torr 001; Christian Rupprecht 001 (ECCV (68), 2024)

DreamHOI: Subject-Driven Generation of 3D Human-Object Interactions with Diffusion Priors. - Thomas Hanwen Zhu; Ruining Li; Tomas Jakab (CoRR, 2024)

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction. - Ben Kaye; Tomas Jakab; Shangzhe Wu; Christian Rupprecht 001; Andrea Vedaldi (CoRR, 2024)

DreamBeast: Distilling 3D Fantastical Animals with Part-Aware Knowledge Transfer. - Runjia Li; Junlin Han; Luke Melas-Kyriazi; Chunyi Sun; Zhaochong An; Zhongrui Gui; Shuyang Sun; Philip Torr 001; Tomas Jakab (3DV, 2025)

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction. - Ben Kaye; Tomas Jakab; Shangzhe Wu; Christian Ruprecht; Andrea Vedaldi (CVPR, 2025)

VMem: Consistent Interactive Video Scene Generation with Surfel-Indexed View Memory. - Runjia Li; Philip Torr 001; Andrea Vedaldi; Tomas Jakab (CoRR, 2025)