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[NeurIPS 2024 Oral][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-sim…
📹 A more flexible CogVideoX that can generate videos at any resolution and creates videos from images.
🎞️ [NeurIPS'24] MVSplat360: Feed-Forward 360 Scene Synthesis from Sparse Views
MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision
Official Implementation of "PF3plat: Pose-Free Feed-Forward 3D Gaussian Splatting"
No Pose, No Problem: Surprisingly Simple 3D Gaussian Splats from Sparse Unposed Images
Lightweight Python framework that provides a high-level API for creating and rendering scenes with Blender.
DepthSplat: Connecting Gaussian Splatting and Depth
🚀 [ARXIV 2024] Pytorch implementation of 'Fast Feedforward 3D Gaussian Splatting Compression'
[WACV 2025] Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think
[3DV'25] 3D Reconstruction with Spatial Memory
[ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
Official repository for Splatt3R: Zero-shot Gaussian Splatting from Uncalibrated Image Pairs
[SIGGRAPH Asia 2024, Journal Track] ToonCrafter: Generative Cartoon Interpolation
VGGSfM: Visual Geometry Grounded Deep Structure From Motion
[ECCV 2024 - Oral] ACE0 is a learning-based structure-from-motion approach that estimates camera parameters of sets of images by learning a multi-view consistent, implicit scene representation.
🔄 [ECCV‘24] Pytorch implementation of 'Surface Reconstruction from 3D Gaussian Splatting via Local Structural Hints'
[ECCV 2024] Efficient Large-Baseline Radiance Fields, a feed-forward 2DGS model
From anything to mesh like human artists. Official impl. of "MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers"
Efficient neural feature detector and descriptor