Author: Aneesh Tickoo

Aneesh Tickoo
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Aneesh Tickoo is a consulting intern at MarktechPost. He is currently pursuing his undergraduate degree in Data Science and Artificial Intelligence from the Indian Institute of Technology(IIT), Bhilai. He spends most of his time working on projects aimed at harnessing the power of machine learning. His research interest is image processing and is passionate about building solutions around it. He loves to connect with people and collaborate on interesting projects.

Samsung AI Researchers Introduce Neural Haircut: A Novel AI Method to Reconstruct Strand-based Geometry of Human Hair from Video or Images

AI Shorts
Researchers from Samsung AI Center, Rockstar Games, FAU Erlangen-Nurnberg, and Cinemersive Labs suggest a brand-new technique for image-based modeling that can extract human hair...

A New AI Research Explains How In-Context Instruction Learning (ICIL) Improves The Zero-Shot Task Generalization Performance For Both Pretrained And Instruction-Fine-Tuned Models

AI Paper Summary
Large Language Models (LLMs) have shown they can adapt to target tasks during inference by a process known as few-shot demonstrations, sometimes known as...

Meet PaLM-E: A New 562-Billion Parameter Embodied Multimodal Language Model That Performs Tasks Such As Robotic Manipulation Planning, Visual QA

AI Paper Summary
Strong reasoning abilities are displayed by large language models (LLMs) in a variety of fields, including conversation, step-by-step reasoning, math problem-solving, and code authoring....

Alibaba AI Research Proposes Composer: A Large (5 Billion Parameters) Controllable Diffusion Model Trained on Billions of (Text, Image) Pairs

AI Paper Summary
Nowadays, text-based generative picture models are capable of creating a wide range of photorealistic images. Many recent efforts have expanded the text-to-image models to...

Researchers From Stanford Introduce Locally Conditioned Diffusion: A Method For Compositional Text-To-Image Generation Using Diffusion Models

AI Paper Summary
3D scene modeling has traditionally been a time-consuming procedure reserved for people with domain expertise. Although a sizable collection of 3D materials is available...

Microsoft AI Research Proposes AltFreezing: A Novel Training Strategy For More General Face Forgery Detection

AI Shorts
The identities or qualities a face video provides may now be changed and manipulated extremely easily, thanks to the recent fast development of face-generating...

AI Researchers At Mayo Clinic Introduce A Machine Learning-Based Method For Leveraging Diffusion Models To Construct A Multitask Brain Tumor Inpainting Algorithm

AI Paper Summary
The number of AI and, in particular, machine learning (ML) publications related to medical imaging has increased dramatically in recent years. A current PubMed...

A New AI Research from China Proposes Meta-Transformer: A Unified AI Framework for Multimodal Learning

AI Shorts
The human brain, regarded as the paradigm for neural network theories, concurrently processes information from various sensory inputs, such as visual, auditory, and tactile...

Latest AI Research From China Introduces ‘OMMO’: A Large-Scale Outdoor Multi-Modal Dataset and Benchmark for Novel View Synthesis and Implicit Scene Reconstruction

AI Paper Summary
Photo-realistic novel view synthesis and high-fidelity surface reconstruction have been made possible by recent developments in implicit brain representations. Unfortunately, most of the approaches...

ByteDance AI Research Proposes a Novel Self-Supervised Learning Framework to Create High-Quality Stylized 3D Avatars with a Mix of Continuous and Discrete Parameters

AI Paper Summary
A key entry point into the digital world, which is more prevalent in modern life for socializing, shopping, gaming, and other activities, is a...

Meet Prompt Diffusion: An AI Framework For Enabling In-Context Learning In Diffusion-Based Generative Models

AI Shorts
State-of-the-art large language models (LLMs), including BERT, GPT-2, BART, T5, GPT-3, and GPT-4, have been developed as a result of recent advances in machine...

Diffusion Models Beat GANs on Image Classification: This AI Research finds that Diffusion Models outperform comparable Generative-Discriminative Methods such as BigBiGAN for Classification Tasks

AI Shorts
Learning unified, unsupervised visual representations is a crucial yet difficult task. Many computer vision problems fall into two basic categories: discriminative or generative. A...
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