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Universität des Saarlandes
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02:47
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Lists (30)
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3d-awareness
3DGS
4d-diffusion
blender
diffusion models
dynamic-nerfs
fancy wrappers
flow-matching
gaussian-slam
human avatars
image captioning
image editing with diffusion
image restoration
llama
monocular depth estimation
mpm
nerfs
phd-advice
phys-interpret
pointnerf
pytorch templates
Retrieval
Single Domain Generalization
sparse-view 3D reconstruction
test-time training
text-to-3d
textual-inversion
video-diffusion
viewers
webpage templates
Stars
LoopSplat: Loop Closure by Registering 3D Gaussian Splats
Gaussian-SLAM: Photo-realistic Dense SLAM with Gaussian Splatting
SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM (CVPR 2024)
A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.
InstantSplat: Sparse-view SfM-free Gaussian Splatting in Seconds
[SIGGRAPH'24] A Construct-Optimize Approach to Sparse View Synthesis without Camera Pose
Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation
A PyTorch Library for Accelerating 3D Deep Learning Research
Annotated Flow Matching paper
Code for RealmDreamer: Text-Driven 3D Scene Generation with Inpainting and Depth Diffusion [Arxiv 2024]
NeRFiller project https://ethanweber.me/nerfiller/
Official Code for MotionCtrl [SIGGRAPH 2024]
🌊 [ECCV'24 Oral] MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images
[CVPR'23] MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation
[ECCV 2024] MOFA-Video: Controllable Image Animation via Generative Motion Field Adaptions in Frozen Image-to-Video Diffusion Model.
V3D: Video Diffusion Models are Effective 3D Generators
code for "Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion"
Code repository of the paper "Clifford-Steerable Convolutional Neural Networks"
Code for "GaussianObject: Just Taking Four Images to Get A High-Quality 3D Object with Gaussian Splatting"
[CSUR] A Survey on Video Diffusion Models