03:55

LiteReality: Graphics-Ready 3D Scene Reconstruction from RGB-D Scans

04:09

BecomingLit: Relightable Gaussian Avatars with Hybrid Neural Shading

02:24

PBR-SR: Mesh PBR Texture Super Resolution from 2D Image Priors

04:13

Pixel3DMM: Versatile Screen-Space Priors for Single-Image 3D Face Reconstruction

03:18

LinPrim: Linear Primitives for Differentiable Volumetric Rendering

04:01

SHeaP: Self-Supervised Head Geometry Predictor Learned via 2D Gaussians

02:19

IntrinsiX: High-Quality PBR Generation using Image Priors

04:49

Animating the Uncaptured: Humanoid Mesh Animation with Video Diffusion Models

02:05

MeshPad: Interactive Sketch Conditioned Artistic-designed Mesh Generation and Editing

04:47

Avat3r: Large Animatable Gaussian Reconstruction Model for High-fidelity 3D Head Avatars

04:30

GAF: Gaussian Avatar Reconstruction from Monocular Videos via Multi-view Diffusion

02:58

PrEditor3D: Fast and Precise 3D Shape Editing

06:04

GaussianSpeech: Audio-Driven Gaussian Avatars

01:35

L3DG: Latent 3D Gaussian Diffusion (SIGGRAPH Asia'24)

05:00

GGHead: Fast and Generalizable 3D Gaussian Heads (SIGGRAPH Asia'24)

02:26

3DGS-LM: Faster Gaussian-Splatting Optimization with Levenberg-Marquardt

04:00

NPGA: Neural Parametric Gaussian Avatars (SIGGRAPH Asia'24)

03:01

Mesh2NeRF: Direct Mesh Supervision for Neural Radiance Field Representation and Generation (ECCV'24)

05:02

CVPR 2024 Paper Compilation - TUM Visual Computing Lab & Collaborators

04:16

LightIt: Illumination Modeling and Control for Diffusion Models (CVPR'24)

03:07

ViewDiff: 3D-Consistent Image Generation with Text-To-Image Models

03:25

Motion2VecSets: 4D Latent Vector Set Diffusion for Non-rigid Shape Reconstruction and Tracking

03:02

Intrinsic Image Diffusion for Single-view Material Estimation

02:11

PolyDiff: Generating 3D Polygonal Meshes with Diffusion Models

06:05

FaceTalk: Audio-Driven Motion Diffusion for Neural Parametric Head Models

03:48

MonoNPHM: Dynamic Head Reconstruction from Monocular Videos

03:32

DPHMs: Diffusion Parametric Head Models for Depth-based Tracking

02:40

GaussianAvatars: Photorealistic Head Avatars with Rigged 3D Gaussians

03:04

DiffusionAvatars: Deferred Diffusion for High-fidelity 3D Head Avatars

02:56

SceneTex: High-Quality Texture Synthesis for Indoor Scenes via Diffusion Priors

03:48

MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers

04:55

TriPlaneNet: An Encoder for EG3D Inversion (WACV'24)

12:16

ICCV 2023 Paper Compilation - TUM Visual Computing Lab & Collaborators

03:02

GANeRF: Leveraging Discriminators to Optimize Neural Radiance Fields (SIGGRAPH Asia'2023)

02:57

End2End Multi-View Feature Matching with Differentiable Pose Optimization (ICCV'2023)

04:30

How to Boost Face Recognition with StyleGAN? (ICCV'2023)

16:30

SIGGRAPH 2023 Paper Compilation - TUM Visual Computing Lab & Collaborators

03:19

HyperDiffusion: Generating Implicit Neural Fields with Weight-Space Diffusion (ICCV'2023)

04:31

Text2Room: Extracting Textured 3D Meshes from 2D Text-to-Image Models (ICCV'2023)

02:26

Text2Tex: Text-driven Texture Synthesis via Diffusion Models (ICCV'2023)

01:32:38

Introduction to Deep Learning (I2DL 2023) - 5. Scaling Optimization

01:56:32

Introduction to Deep Learning (I2DL 2023) - 12. Advanced DL Topics

01:09:41

Introduction to Deep Learning (I2DL 2023) - 11. RNNs and Transformers

01:33:34

Introduction to Deep Learning (I2DL 2023) - 10. Architectures

01:07:56

Introduction to Deep Learning (I2DL 2023) - 9. Convolutional Neural Networks

01:04:48

Introduction to Deep Learning (I2DL 2023) - 8. Augmentation and Regularization

01:25:52

Introduction to Deep Learning (I2DL 2023) - 7. Losses and Activations

01:07:55

Introduction to Deep Learning (I2DL 2023) - 6. Training Neural Networks

01:22:58

Introduction to Deep Learning (I2DL 2023) - 4. Optimization and Backprop

01:16:47

Introduction to Deep Learning (I2DL 2023) - 3. Intro Neural Networks

01:43:43

Introduction to Deep Learning (I2DL 2023) - 2. ML Basics

01:34:12

Introduction to Deep Learning (I2DL 2023) - 1. Introduction

07:42

CVPR 2023 Paper Compilation - TUM Visual Computing Lab & Collaborators

04:44

ClipFace: Text-guided Editing of Textured 3D Morphable Models (SIGGRAPH'23)

04:48

NeRSemble: Multi-view Radiance Field Reconstruction of Human Heads (SIGGRAPH'23)

03:43

Learning Neural Parametric Head Models (CVPR'2023)

03:32

ObjectMatch: Robust Registration using Canonical Object Correspondences (CVPR'2023)

04:47

Panoptic Lifting for 3D Scene Understanding with Neural Fields (CVPR'2023)

02:34

DiffRF: Rendering-guided 3D Radiance Field Diffusion (CVPR'2023)

03:19

Learning 3D Scene Priors with 2D Supervision (CVPR'2023)