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OmniGen2 : A New Era in Multimodal AI for Creative Expression
Imagine a tool that can turn your imagination into reality—whether you’re sketching a futuristic city, designing a fantasy creature, or tweaking a photo to match your vision. That’s the promise of OmniGen2, a cutting-edge AI system that bridges the gap between text and image creation, making it easier than ever to generate and edit visuals…
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UniRig : 3D Character Rigging by AI
More news about AI Introduction to UniRig : A Game-Changer for 3D Character Rigging In the world of 3D modeling and animation, one of the most complex and time-consuming tasks is rigging. Rigging involves creating a skeleton structure for a 3D model, which enables it to move and be animated. Traditionally, this process has required…
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MultiTalk : Crafting Dynamic Multi-Character Video Dialogues with Audio Precision
In the rapidly evolving field of video generation, a groundbreaking framework called MultiTalk has emerged, pushing the boundaries of audio-driven multi-person conversational video creation. Developed by researchers from the Shenzhen Campus of Sun Yat-sen University, Meituan, and HKUST, MultiTalk addresses the challenges of generating realistic, audio-synchronized videos featuring multiple characters interacting based on a given…
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ImmerseGen : Revolutionizing VR World Creation with Lightweight AI
More news about AI Introduction The quest to create immersive, photorealistic 3D environments for virtual reality (VR) and extended reality (XR) applications has long been a challenge, balancing visual fidelity with computational efficiency. Traditional methods rely on high-poly mesh modeling or massive 3D Gaussian representations, often leading to complex pipelines or performance bottlenecks on resource-constrained…
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Microsoft TRELLIS
More news about AI Introduction Microsoft TRELLIS is a groundbreaking AI model designed to generate high-quality 3D assets from text or image prompts, making it a powerful tool for game developers, virtual reality creators, animators, and designers. Introduced in a 2024 research paper titled Structured 3D Latents for Scalable and Versatile 3D Generation (CVPR 2025…
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Self-Forcing wan2.1 : Pioneering Real-Time AI Video Synthesis
The field of video generation has seen remarkable advancements in recent years, with autoregressive diffusion models pushing the boundaries of what’s possible. Among the latest breakthroughs is Self-Forcing Video Generation, a novel approach that bridges the gap between training and inference in autoregressive video diffusion, delivering high-quality, real-time video synthesis. This article dives into the…