SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images 🎯 (NeurIPS 2020)
Die Hauptfunktionen von chenhsuanlin/signed-distance-srn sind: Meta-Learning, Neural Rendering.
Open-Source-Alternativen zu chenhsuanlin/signed-distance-srn sind unter anderem: bmild/nerf — This project is a framework for neural radiance fields used to synthesize three-dimensional environments from sets of… hustvl/4dgaussians — 4DGaussians is a research library and neural rendering engine designed for reconstructing and rendering dynamic… skjack/ltw — This code belongs to the "Domain General Face Forgery Detection by Learning to Weight" Before run the code, you should…
This project is a framework for neural radiance fields used to synthesize three-dimensional environments from sets of two-dimensional images and camera poses. It functions as a volumetric rendering engine and scene synthesizer that optimizes neural representations of spatial volumes to generate novel views of complex 3D scenes. The system implements a coordinate encoding system that transforms spatial coordinates into high-dimensional space to capture high-frequency geometric details. It also includes a neural mesh extractor that converts trained radiance fields into triangle meshes via march
4DGaussians is a research library and neural rendering engine designed for reconstructing and rendering dynamic three-dimensional scenes. It represents moving environments as a collection of Gaussian primitives that evolve in position and appearance over a temporal dimension. The framework utilizes neural deformation fields to predict spatial offsets and rotations for static point representations, simulating complex motion over time. It further employs temporal basis decomposition to encode motion trajectories into learned functions, compressing dynamic scene data while maintaining smooth tra
This code belongs to the "Domain General Face Forgery Detection by Learning to Weight" Before run the code, you should run ` $ pip install -r requirements.txt first. This code is mainly focus on the GCD benchamrks, which contain three deepfake dataset: Faceforensics++,CELEB-DF,DFDC (version…