EOPose transfers the pose of an exemplar object image onto a source object image using DINO-ViT keypoint correspondences, a learned warp, and a GAN refinement stage, outperforming TPS, UFO-PT, and ControlCom on a synthetic Objaverse benchmark.
Lightplane: Highly-scalable components for neu- ral 3d fields
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
EOPose : Exemplar-based object reposing using Generalized Pose Correspondences
EOPose transfers the pose of an exemplar object image onto a source object image using DINO-ViT keypoint correspondences, a learned warp, and a GAN refinement stage, outperforming TPS, UFO-PT, and ControlCom on a synthetic Objaverse benchmark.