Media Summary: GS-IR: 3D Gaussian Splatting for Inverse Rendering. IEEE/CVF Conference on Computer Vision and Pattern Recognition Diffusion Models (DMs) have emerged as powerful generative models with unprecedented image generation capability.
Cvpr 2024 Gsir - Detailed Analysis & Overview
GS-IR: 3D Gaussian Splatting for Inverse Rendering. IEEE/CVF Conference on Computer Vision and Pattern Recognition Diffusion Models (DMs) have emerged as powerful generative models with unprecedented image generation capability. [CVPR 2024 Highlight] Compact 3D Gaussian Representation for Radiance Field EASG visualization with dynamic graphs and object bounding boxes Ivan Rodin*, Antonino Furnari*, Kyle Min*, Subarna Tripathi, ... Open3DSG: Open-Vocabulary 3D Scene Graphs from Point Clouds with Queryable Objects and Open-Set Relationships.
We propose a novel method for high-quality face capture, featuring a low-cost and easy-to-use capture setup and the capability to ... We present GPS-Gaussian, a new method for synthesizing 2K-resolution novel views of unseen human performers under a ... [CVPR 2024] CAGE: Controllable Articulation GEneration Existing text-to-image generative models reflect or even amplify societal biases ingrained in their training data. This is especially ... Generalized Predictive Model for Autonomous Driving Authors: Jiazhi Yang*, Shenyuan Gao*, Yihang Qiu*, Li Chen, Tianyu Li, ...