lukasplu (Luka Pluzynski)

upvoted a paper 2 months ago

DepthCrafter: Generating Consistent Long Depth Sequences for Open-world Videos

Paper • 2409.02095 • Published Sep 3 • 35

upvoted 3 papers 3 months ago

Task-oriented Sequential Grounding in 3D Scenes

Paper • 2408.04034 • Published Aug 7 • 8

Transformer Explainer: Interactive Learning of Text-Generative Models

Paper • 2408.04619 • Published Aug 8 • 154

BetterDepth: Plug-and-Play Diffusion Refiner for Zero-Shot Monocular Depth Estimation

Paper • 2407.17952 • Published Jul 25 • 29

upvoted a paper 5 months ago

Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks

Paper • 2311.06242 • Published Nov 10, 2023 • 81

upvoted a collection 5 months ago

Florence

Collection

9 items • Updated Jul 11 • 158

upvoted a paper 5 months ago

Depth Anything V2

Paper • 2406.09414 • Published Jun 13 • 92

upvoted 2 articles 6 months ago

Article

A Dive into Pretraining Strategies for Vision-Language Models

Feb 3, 2023

• 44

Article

seemore: Implement a Vision Language Model from Scratch

By

•

Jun 23

• 62

upvoted an article 7 months ago

Article

Welcome Llama 3 - Meta's new open LLM

Apr 18

• 275

upvoted a collection 7 months ago

Llama 3

Collection

8 items • Updated Apr 18 • 15

upvoted an article 7 months ago

Article

Vision Language Models Explained

Apr 11

• 206

upvoted 2 papers 8 months ago

DepthFM: Fast Monocular Depth Estimation with Flow Matching

Paper • 2403.13788 • Published Mar 20 • 17

SceneScript: Reconstructing Scenes With An Autoregressive Structured Language Model

Paper • 2403.13064 • Published Mar 19 • 31

upvoted 4 papers 9 months ago

CARFF: Conditional Auto-encoded Radiance Field for 3D Scene Forecasting

Paper • 2401.18075 • Published Jan 31 • 8

Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling

Paper • 2401.16380 • Published Jan 29 • 47

Multimodal Pathway: Improve Transformers with Irrelevant Data from Other Modalities

Paper • 2401.14405 • Published Jan 25 • 11

Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild

Paper • 2401.13627 • Published Jan 24 • 71

upvoted 2 papers 10 months ago

Single-View 3D Human Digitalization with Large Reconstruction Models

Paper • 2401.12175 • Published Jan 22 • 5

EmerDiff: Emerging Pixel-level Semantic Knowledge in Diffusion Models

Paper • 2401.11739 • Published Jan 22 • 16

Luka Pluzynski

AI & ML interests

Organizations

lukasplu's activity

DepthCrafter: Generating Consistent Long Depth Sequences for Open-world Videos

Task-oriented Sequential Grounding in 3D Scenes

Transformer Explainer: Interactive Learning of Text-Generative Models

BetterDepth: Plug-and-Play Diffusion Refiner for Zero-Shot Monocular Depth Estimation

Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks

Florence

Depth Anything V2

A Dive into Pretraining Strategies for Vision-Language Models

seemore: Implement a Vision Language Model from Scratch

Welcome Llama 3 - Meta's new open LLM

Llama 3

Vision Language Models Explained

DepthFM: Fast Monocular Depth Estimation with Flow Matching

SceneScript: Reconstructing Scenes With An Autoregressive Structured Language Model

CARFF: Conditional Auto-encoded Radiance Field for 3D Scene Forecasting

Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling

Multimodal Pathway: Improve Transformers with Irrelevant Data from Other Modalities

Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild

Single-View 3D Human Digitalization with Large Reconstruction Models

EmerDiff: Emerging Pixel-level Semantic Knowledge in Diffusion Models