AI Bites | YouTube Channel @ai_bites
AI Happenings, papers and ideas tweet. Opensource online AI education for the world. Former @UniofOxford @Oxford_VGG youtube.com/c/AIBites YouTube → Joined July 2014-
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Human motion video generation has garnered significant research interest due to its broad applications, enabling innovations such as photorealistic singing heads or dynamic avatars that seamlessly dance to music. However, existing surveys in this field focus on individual…
Virtual Fitting Room, a video generation framework for creating minute-scale try-on videos from a single user image, a target garment, and a reference motion. Unlike traditional try-on methods that produce short clips or static images, VFR supports arbitrarily long,…
ARTalk generates realistic 3D head motions in ⚡real time⚡ from given audio, including accurate lip sync, natural facial animations, eye blinks, and head poses. Speech-driven 3D facial animation aims to generate realistic lip movements and facial expressions for 3D head models…
Are you tired of fine-tuning by writing boilerplate code? You are not alone. When I was looking for a tool/platform to make my life easier with fine-tuning LLMs/LVMs, I came across @transformerlab It is a leading open source platform to fine-tune advanced AI models without…
EraserDiT enables object-aware video inpainting by taking a video as input, removing specified targets, and restoring the occluded regions with high visual fidelity. Paper Title: EraserDiT: Fast Video Inpainting with Diffusion Transformer Model Project: jieliu95.github.io/EraserDiT_demo/…
Motion2Motion studies the challenge of transferring animations between characters whose skeletal topologies differ substantially. While many techniques have advanced retargeting techniques in decades, transferring motions across diverse topologies remains less-explored.…
Compact Attention. Through adaptive tile grouping and automated mask optimization, it eliminates redundant computations, and achieves 2.5× speedup on models like Hunyuan while maintaining visual quality comparable to full attention. Compact Attention accelerates video generation…
Here is our first look, quick review video on GPT-5 from @OpenAI . Over all, amazing, particularly in the Hallucinations department. Video: youtu.be/Zf12eRrs60E Hope it helps get a quick sneak peak on whats on offer! #AI #AIイラスト︎ #OpenAl #LLMs #generativeAI
Context Engineering literature is just blowing up! We already have a survey paper on Context Engineering for LLMs! The performance of Large Language Models (LLMs) is fundamentally determined by the contextual information provided during inference. This survey introduces…
This week, our video is about Agentic RAG. We have built an end-to-end RAG pipeline using NVIDIA's NeMo retriever from @NVIDIAAIDev The NeMo retrievers currently hold the top spot in the ViDoRe (V1 & V2) and MTEB benchmarks, making it our go-to embedding model for building RAG…
Recently I read this paper titled, "Transformers without Normalization". If you have been working hands-on with the transformers for a while, you know how essential the normalization layers are to its architecture. This paper argues we can go backwards in time and get rid of…
FairyGen, a novel framework for generating animated story videos from a single hand-drawn character, while faithfully preserving its artistic style. It features story planning via MLLM, propagated stylization, 3D-based motion generation, and a two-stage propagated motion adapter.…
3DGH, an unconditional generative model for 3D human heads with composable hair and face components. Unlike previous work that entangles the modeling of hair and face, it proposes to separate them using a novel data representation with template-based 3D Gaussian Splatting, in…
In text-to-image generation, achieving fine-grained control over multiple subject identities and semantic attributes (such as pose, style, lighting) while maintaining high quality and consistency has been a significant challenge. Existing methods often introduce artifacts or…
In dynamic 3D environments, accurately updating scene representations over time is crucial for applications in robotics, mixed reality, and embodied AI. As scenes evolve, efficient methods to incorporate changes are needed to maintain up-to-date, high-quality reconstructions…
StereoDiff excels in delivering remarkable global and local consistency for video depth estimation. In terms of global consistency, StereoDiff achieves highly accurate and stable depth maps on static backgrounds across consecutive windows, leveraging stereo matching to prevent…
3D Editing via Propagation of Image Prompts to Multi-View. It propagates user-provided, single-view 2D edits to the multi-view representation of a 3D asset. This enables fast, mask-free, high-fidelity, and consistent 3D editing with intuitive control Paper Title: EditP23: 3D…
Existing neural field-based SLAM methods typically employ a single monolithic field as their scene representation. This prevents efficient incorporation of loop closure constraints and limits scalability. To address these shortcomings, this work proposes a neural mapping…
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