3D Paintbrush: Local Stylization of 3D Shapes with Cascaded Score Distillation
In this episode of the Talking Papers Podcast, I hosted Dale Decatur to chat about his paper “3D Paintbrush: Local Stylization of 3D Shapes with Cascaded Score Distillation”, published in CVPR, 2024.
Constructive Solid Geometry on Neural Signed Distance Fields
In this episode of the Talking Papers Podcast, I hosted Zoë Marschnerto chat about her paper “Constructive Solid Geometry on Neural Signed Distance Fields”, published in SIGGRAPH Asia 2023.
HMD-NeMo: Online 3D Avatar Motion Generation From Sparse Observations
In this episode of the Talking Papers Podcast, I hosted Sadegh Aliakbarian to chat about his paper “HMD-NeMo: Online 3D Avatar Motion Generation From Sparse Observations”, published at ICCV 2023.
CC3D: Layout-Conditioned Generation of Compositional 3D Scenes
In this episode of the Talking Papers Podcast, I hosted JJ Park to chat about his paper “CC3D: Layout-Conditioned Generation of Compositional 3D Scenes”, published at ICCV 2023.
NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection
In this episode of the Talking Papers Podcast, I hosted Chenfeng Xu to chat about his paper “NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection”, published at ICCV 2023.
Beyond Periodicity: Towards a Unifying Framework for Activations in Coordinate-MLPs
In this episode of the Talking Papers Podcast, I hosted Sameera Ranasinghe to chat about his paper “Beyond Periodicity: Towards a Unifying Framework for Activations in Coordinate-MLPs”, published in ECCV 2022 as an oral presentation.
KeypointNeRF: Generalizing Image-based Volumetric Avatars using Relative Spatial Encoding of Keypoints
In this episode of the Talking Papers Podcast, I hosted Marko Mihajlovic to chat about his paper “KeypointNeRF: Generalizing Image-based Volumetric Avatars using Relative Spatial Encoding of Keypoints”, published in ECCV 2022.
BACON: Band-Limited Coordinate Networks for Multiscale Scene Representation
In this episode of the Talking Papers Podcast, I hosted David Lindell to chat about his paper “BACON: Band-Limited Coordinate Networks for Multiscale Scene Representation”, published in CVPR 2022.
Learning Smooth Neural Functions via Lipschitz Regularization
In this episode of the Talking Papers Podcast, I hosted Hsueh-Ti Derek Liu to chat about his paper “Learning Smooth Neural Functions via Lipschitz Regularization”, published in SIGGRAPH 2022.