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Alexander Keller

4 accepted papers

2025

Diffusion Renderer: Neural Inverse and Forward Rendering with Video Diffusion Models

CVPR 2025poster

Understanding and modeling lighting effects are fundamental tasks in computer vision and graphics. Classic physically-based rendering (PBR) accurately simulates the light transport, but relies on precise scene representations--explicit 3D geometry, high-quality material properties, and lighting cond…

Cited by 3SourcePDFScholar
2025

GEN3C: 3D-Informed World-Consistent Video Generation with Precise Camera Control

CVPR 2025highlight

We present GEN3C, a generative video model with precise Camera Control and temporal 3D Consistency. Prior video models already generate realistic videos, but they tend to leverage little 3D information, leading to inconsistencies, such as objects popping in and out of existence. Camera control, if i…

2025

Nemotron-Flash: Towards Latency-Optimal Hybrid Small Language Models

NeurIPS 2025poster

Efficient deployment of small language models (SLMs) is essential for numerous real-world applications with stringent latency constraints.While previous work on SLM design has primarily focused on reducing the number of parameters to achieve parameter-optimal SLMs, parameter efficiency does not nece…

Cited by 0SourceScholar
2025

UniRelight: Learning Joint Decomposition and Synthesis for Video Relighting

NeurIPS 2025spotlight

We address the challenge of relighting a single image or video, a task that demands precise scene intrinsic understanding and high-quality light transport synthesis. Existing end-to-end relighting models are often limited by the scarcity of paired multi-illumination data, restricting their ability t…

Cited by 0SourceScholar