DoubleField Project PageWe introduce DoubleField, a novel framework combining the merits of both surface field and radiance field for high-fidelity human reconstruction and rendering. Within DoubleField, the surface field and radiance field are associated together by a shared feawww.liuyebin.com  DoubleField: Bridging the Neural Surface and Radiance Fields for High-fidelity Human Reconstruction ..

Stacked Hourglass Networks for Human Pose EstimationThis work introduces a novel convolutional network architecture for the task of human pose estimation. Features are processed across all scales and consolidated to best capture the various spatial relationships associated with the body. We show how repeatearxiv.org GitHub - princeton-vl/pytorch_stacked_hourglass: Pytorch implementation of the E..

https://www.matthewtancik.com/nerf NeRF: Neural Radiance FieldsA method for synthesizing novel views of complex scenes by optimizing an underlying continuous volumetric scene function using a sparse set of input views.www.matthewtancik.com AbstractWe present a method that achieves SOTA results for synthesizing novel views of complex scenes by optimizing an underlying continuous volumetric scene ..

3D Gaussian Splatting for Real-Time Radiance Field Rendering[Müller 2022] Müller, T., Evans, A., Schied, C. and Keller, A., 2022. Instant neural graphics primitives with a multiresolution hash encoding [Hedman 2018] Hedman, P., Philip, J., Price, T., Frahm, J.M., Drettakis, G. and Brostow, G., 2018. Deep blendingrepo-sam.inria.frAbstractRadiance Field method : 여러 장의 이미지나 비디오로 novel-view synthesi..

https://github.com/IDEA-Research/Grounded-Segment-Anything GitHub - IDEA-Research/Grounded-Segment-Anything: Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable DiffusionGrounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything - IDEA-Research/Grounded-Segment-A...github.comAbstractO..

https://github.com/IDEA-Research/GroundingDINO GitHub - IDEA-Research/GroundingDINO: [ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Groun[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection" - IDEA-Research/GroundingDINOgithub.comhttps://arxiv.org/abs/2303.05499 Grounding DIN..