Papers

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Papers

YOLO-World: Real-Time Open-Vocabulary Object Detection

Dmytro SpodaretsFeb 12, 2024

Papers

OMG-Seg: Is One Model Good Enough For All Segmentation?

Feb 8, 2024

Papers

InstantID : Zero-shot Identity-Preserving Generation in Seconds

Feb 5, 2024

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Papers
Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors
QA4RE is a framework that aligns RE with question answering (QA). It enables LLMs to outperform strong zero-shot baselines by a large margin. This…
Dmytro Spodarets · May 28, 2023
Papers
Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold
This paper explores a new way of controlling GANs that includes "dragging" any points of the image to reach target points in a user-interactive…
Dmytro Spodarets · May 26, 2023
Papers
Segment Anything Model
SAM is a promptable segmentation system with zero-shot generalization to unfamiliar objects and images, without the need for additional training. The…
Dmytro Spodarets · May 17, 2023
Papers
BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects
BundleSDF is a near real-time method for 6-DoF tracking of an unknown object from a monocular RGBD video sequence, while performing neural 3D…
Dmytro Spodarets · May 14, 2023
Papers
Neural Preset for Color Style Transfer
Neural Preset is a technique that uses AI to generate and transfer color styles. It can extract color styles from given reference images, store them…
Dmytro Spodarets · May 12, 2023
Papers
BloombergGPT: A Large Language Model for Finance
BloombergGPT is a 50 billion parameter language model that is trained on a wide range of financial data. It is validated on standard LLM benchmarks,…
Dmytro Spodarets · Apr 25, 2023
Papers
S-NeRF: Neural Radiance Fields for Street Views
In this paper, the authors propose a new street-view NeRF (S-NeRF) that considers novel view synthesis of both the large-scale background scenes and…
Dmytro Spodarets · Mar 27, 2023
Papers
Universal Guidance for Diffusion Models
Typical diffusion models cannot be conditioned on other modalities without retraining. This work presents a universal guidance algorithm that enables…
Dmytro Spodarets · Mar 17, 2023
Papers
3D Generation on ImageNet
In this paper, the authors develop a 3D generator with Generic Priors (3DGP): a 3D synthesis framework with more general assumptions about the…
Dmytro Spodarets · Mar 7, 2023
Papers
3D-aware Conditional Image Synthesis
This paper describes a 3D-aware conditional generative model for controllable photorealistic image synthesis. It integrates 3D representations with…
Dmytro Spodarets · Mar 5, 2023
Papers
SinMDM: Single Motion Diffusion
This paper presents a Single Motion Diffusion Model, dubbed SinMDM, a model designed to learn the internal motifs of a single motion sequence with…
Dmytro Spodarets · Mar 2, 2023
Papers
LEGO-Net: Learning Regular Rearrangements of Objects in Rooms
LEGO-Net is a data-driven transformer-based iterative method for LEarning reGular rearrangement of Objects in messy rooms. Results demonstrate that…
Dmytro Spodarets · Feb 23, 2023

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Featured

YOLO-World: Real-Time Open-Vocabulary Object Detection

OMG-Seg: Is One Model Good Enough For All Segmentation?

InstantID : Zero-shot Identity-Preserving Generation in Seconds

Latest

Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors

Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold

Segment Anything Model

BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects

Neural Preset for Color Style Transfer

BloombergGPT: A Large Language Model for Finance

S-NeRF: Neural Radiance Fields for Street Views

Universal Guidance for Diffusion Models

3D Generation on ImageNet

3D-aware Conditional Image Synthesis

SinMDM: Single Motion Diffusion

LEGO-Net: Learning Regular Rearrangements of Objects in Rooms