📹 A more flexible CogVideoX that can generate videos at any resolution and creates videos from images.

Consistency Models Made Easy

(NeurIPS 2024 Oral 🔥) Improved Distribution Matching Distillation for Fast Image Synthesis

A powerful tool that translates ComfyUI workflows into executable Python code.

[CVPR 2024 Oral, Best Paper Runner-Up] Code for "pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction" by David Charatan, Sizhe Lester Li, Andrea Tagliasacch…

GART: Gaussian Articulated Template Models

RenderMe-360: Large Digital Asset Library and Benchmark Towards High-fidelity Head Avatars

Official repository for CVPR 2023 paper: GazeNeRF: 3D-Aware Gaze Redirection with Neural Radiance Fields

A high-fidelity 3D face reconstruction library from monocular RGB image(s)

DEEP GEOMETRY POST-PROCESSING FOR DECOMPRESSED POINT CLOUDS (ICME2022 oral)

Official repository for CVPR 2022 paper: I M Avatar: Implicit Morphable Head Avatars from Videos

OpenMMLab 3D Human Parametric Model Toolbox and Benchmark

Official repository of OFA (ICML 2022). Paper: OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework

A curated list of awesome neural radiance fields papers

Nvdiffrast - Modular Primitives for High-Performance Differentiable Rendering

The idea of this list is to collect shared data and algorithms around 3D Morphable Models. You are invited to contribute to this list by adding a pull request. The original list arised from the Dag…

一位酷爱做饭的程序员，立志用动画将算法说的通俗易懂。我的面试网站 www.chengxuchu.com

Code and data for our paper "High-Fidelity 3D Digital Human Creation from RGB-D Selfies".

Anomaly detection related books, papers, videos, and toolboxes

[CVPR 2021] Adversarial Generation of Continuous Images

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute

Official implementation for ECCV 2020 paper CONFIG: Controllable Neural Face Image Generation

Local Invariance Selection at Runtime for Descriptors (LISRD)

[ECCV 2020] Single image depth prediction allows us to rectify planar surfaces in images and extract view-invariant local features for better feature matching

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