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Research 16 days ago

Go-with-the-Track Unifies Video Compositing and Motion Control via Point-Track Conditioning

Researchers have introduced Go-with-the-Track, a single model that brings together motion control and video compositing—two capabilities that existing approaches treat as separa...

E · #world-models #character-animation #virtual-production
Research 16 days ago

LGTM: Apple and HKU Researchers Achieve Native 4K Feed-Forward Gaussian Splatting

Researchers from Apple and the University of Hong Kong have introduced LGTM (Less Gaussians, Texture More), a new method for 3D Gaussian Splatting that scales to native 4K resol...

yxlao.github.io · #neural-rendering #3d-asset-generation #volumetric-capture
Research 16 days ago

Smol-GS Compresses 3D Gaussian Splatting Scenes by Orders of Magnitude Without Quality Loss

Researchers from Aalto University and ELLIS Institute Finland have introduced Smol-GS, a compression method for 3D Gaussian Splatting (3DGS) that dramatically reduces model size...

A · #neural-rendering #3d-asset-generation #volumetric-capture
Research 17 days ago

UniTemp: One 1.3B Model Generates Video in Any Temporal Order via Bidirectional Distillation

Researchers have introduced UniTemp, a single 1.3B-parameter autoregressive video model capable of generating video in any temporal direction—forward, backward, or interpolated ...

lzhangbj.github.io · #multimodal-vlm-architecture #world-models #post-production-workflows
Research 17 days ago

Diffusion Model Enables Lighting-Consistent Object Transfer Between 3D Gaussian Splatting Scenes

Researchers from Inria, Google DeepMind, and Eyeline Labs have introduced a diffusion-based method for transferring objects between 3D Gaussian Splatting (3DGS) scenes while har...

R · #neural-rendering #vfx-industry #post-production-workflows
Research 18 days ago

Discriminator-Guided RL Sharply Improves Flow-Matching Diffusion Model Quality Without Human Preference Labels

Researchers from Meta AI and collaborators have proposed Discriminator-Guided RL (DRL), a method to correct a structural flaw they identify in flow- and score-matching diffusion...

arxiv.org · #multimodal-vlm-architecture #fine-tuning-and-adaptation #aesthetic-ai-infrastructure
Research 23 days ago

AI2 Releases MolmoMotion, a Language-Guided 3D Motion Forecasting Model

The Allen Institute for AI (AI2) has released MolmoMotion, a model that predicts future 3D point trajectories for objects in video given a frame, a set of query points, and a na...

Hugging Face Blog · #world-models #multimodal-vlm-architecture #character-animation
Research 23 days ago

Researchers Propose 5D Spatio-Directional Hash Encoding to Improve Neural Rendering

A new research paper from Philippe Weier, Lukas Bode, Philipp Slusallek, Adrián Jarabo, and Sébastien Speierer introduces a compact five-dimensional neural encoding designed to ...

arxiv.org · #vfx-industry #virtual-production #world-models
Research 23 days ago

Adobe Research's Object-WIPER Removes Objects and Their Visual Traces from Video Without Retraining

Object-WIPER, a training-free research method from Adobe Research and UT Dallas accepted to CVPR 2026, goes beyond simple mask-and-fill object removal by also erasing associated...

research.adobe.com · #post-production-workflows #vfx-industry #multimodal-vlm-architecture
Research 23 days ago

SliderEdit Gives Fine-Grained, Continuous Control Over Instruction-Based Image Editing

Researchers from the University of Maryland and Adobe have introduced SliderEdit, a framework that adds continuous, per-instruction intensity control to existing instruction-bas...

A · #fine-tuning-and-adaptation #multimodal-vlm-architecture #post-production-workflows

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