WACV 2024 : Waikoloa Hawaii
WACV 2024 in Waikoloa, Hawaii, was more than a conference; it was an immersive journey into the evolving landscape of computer vision. From thought-provoking keynotes by visionaries like Dima Damen and Lihi Zelnik-Manor to enlightening fireside chats with Gerard Medioni, the event unfolded as a goldmine of knowledge and insights. This blog post captures the essence of this remarkable experience, diving into awards, orals, workshops, and engaging discussions on emerging topics like Generative AI, 3D vision, and Anomaly Detection. It was amazing to be part of an event that seamlessly blended intellectual pursuit with the beauty of Hawaii’s landscapes.
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.
🎠 MagicPony: Learning Articulated 3D Animals in the Wild
In this episode of the Talking Papers Podcast, I hosted Tomas Jakab to chat about his paper “MagicPony: Learning Articulated 3D Animals in the Wild”, published at CVPR 2023.
DiGS: Divergence guided shape implicit neural representation for unoriented point clouds
In this episode of the Talking Papers Podcast, I hosted Chamin Hewa Koneputugodage to chat about our paper “DiGS: Divergence guided shape implicit neural representation for unoriented point clouds”, published in CVPR 2022.
Neural RGB-D Surface Reconstruction
In this episode of the Talking Papers Podcast, I hosted Dejan Azinović to chat about his paper “Neural RGB-D Surface Reconstruction”, published in CVPR 2022.
ICON: Implicit Clothed humans Obtained from Normals
In this episode of the Talking Papers Podcast, I hosted Yuliang Xiu to chat about his paper “ICON: Implicit Clothed humans Obtained from Normals”, published in CVPR 2022.
SampleNet: Differentiable Point Cloud Sampling
In this episode of the Talking Papers Podcast, I hosted Itai Lang to chat about his paper “SampleNet: Differentiable Point Cloud Sampling”, published in CVPR 2020.