AI's Eye for Shots: Good at Camera Positions, Struggling with Aesthetics with Imagen-v3-fast
- 9 minutes read - 1780 wordsTable of Contents
The world of filmmaking is filled with technical and artistic elements that work together to create a compelling visual experience. One crucial aspect is the camera position, which plays a significant role in shaping the narrative and conveying emotions. Dramatic camera positions, such as low-angle shots, high-angle shots, and close-ups, are often used to emphasize power, vulnerability, or intimacy. For example, a low-angle shot can make a character appear larger and more imposing, while a high-angle shot can create a sense of vulnerability or isolation. This analysis explores the ability of a generative AI model to understand and implement these dramatic camera positions, as well as its capacity to capture the desired aesthetic of the scene.
Created with: imagen-v3-fast
Silhouettes of Destiny: A Medieval Sunset
Two figures in medieval garb stand silhouetted against a fiery sunset, their expressions unreadable. A third figure walks away into the distance, leaving behind a sense of mystery and contemplation. The scene evokes a sense of epic drama and the weight of unknown destinies.
Prompt
camera-positions Two-shot: Epic, hopeful, determined ; A lone hero, silhouetted against the setting sun; Two-shot; Heroism; A vast, desolate landscape; cinematic
Characteristic
Shot : Two figures in medieval garb stand facing a sunset, while a third figure walks away into the distance.
Aesthetic Score : 0.7
Mood : mysterious, epic, contemplative
Quality
Entropy : 6.69
Noise : 56
Prompt Clip Score : 0.29
AI Evaluation
Likelihood of AI : 0.80
Image errors : The image appears to be a composite, there are some inconsistencies in the lighting and texture of the figures. The ground seems slightly too flat.
Awe-Inspiring Waterfall: Nature’s Majesty on Display
Two figures stand dwarfed by a magnificent waterfall, its cascading waters framed by lush greenery. The scene evokes a sense of serenity, adventure, and awe, highlighting the power and beauty of nature.
Prompt
camera-positions Two-shot: Wonder, excitement, awe ; Two adventurers, gazing in awe at a towering waterfall; Two-shot; Adventure; Lush, tropical rainforest; cinematic
Characteristic
Shot : Two figures stand in front of a large waterfall, the falls are framed by verdant rock walls covered in green foliage.
Aesthetic Score : 0.8
Mood : serene, adventurous, awe
Quality
Entropy : 6.61
Noise : 100
Prompt Clip Score : 0.32
AI Evaluation
Likelihood of AI : 0.10
Image errors : No visible image errors
The Intensity of Competitive Gaming
Two young men are locked in a fierce gaming battle, illuminated by moody blue and purple lighting. The image captures the focus and intensity of their competitive spirit, highlighting the player in the foreground with a game controller in hand.
Prompt
camera-positions Two-shot: Intense, focused, competitive ; Two gamers, intensely focused on a screen, controllers in hand; Two-shot; Gaming; A dimly lit room with neon lights; cinematic
Characteristic
Shot : Two young men are sitting at a computer, wearing headsets, and playing a video game. The scene is lit with blue and purple light, which adds to the moody atmosphere. The image is focused on the player in the foreground, who is holding a game controller in his hands.
Aesthetic Score : 0.7
Mood : focused, intense, competitive
Quality
Entropy : 6.33
Noise : 46
Prompt Clip Score : 0.32
AI Evaluation
Likelihood of AI : 0.10
Image errors : Slight noise in the dark areas of the image, particularly in the background.
Love in the City: A Selfie Moment to Remember
In the heart of a bustling city, a young couple captures a selfie in front of a magnificent building. Their joyful expressions and the romantic setting create a memorable moment of happiness and adventure amidst the urban landscape.
Prompt
camera-positions Two-shot: Happy, carefree, celebratory ; Two tourists, smiling and taking a selfie in front of a famous landmark; Two-shot; Tourism; A bustling city square; cinematic
Characteristic
Shot : A young couple taking a selfie in front of a large building in a city square. The couple is in the foreground, the building is in the background, and there are other people in the background.
Aesthetic Score : 0.6
Mood : happy, romantic, adventurous
Quality
Entropy : 6.69
Noise : 75
Prompt Clip Score : 0.35
AI Evaluation
Likelihood of AI : 0.20
Image errors : There is slight noise in the image. The image could be more sharply focused.
Love Blooms on a Cobblestone Street
A couple strolls hand-in-hand through a charming European city, their smiles radiating joy and happiness. The warm lighting and airy atmosphere create a romantic and playful mood, capturing the essence of a love story unfolding.
Prompt
camera-positions Two-shot: Joyful, adventurous, curious ; Two friends, sharing a laugh as they explore a foreign city; Two-shot; Travel; A vibrant, colorful street market; cinematic
Characteristic
Shot : A couple is walking down a cobblestone street in a European city, they are smiling and looking at each other
Aesthetic Score : 0.6
Mood : happy, romantic, playful
Quality
Entropy : 6.77
Noise : 73
Prompt Clip Score : 0.26
AI Evaluation
Likelihood of AI : 0.20
Image errors : No visible artifacts or errors.
Cheers to Friendship: A Toast to Good Times
Capture the warmth and joy of shared moments with friends. This image depicts four friends raising their glasses in a cozy pub setting, radiating a sense of camaraderie and celebration. The scene evokes a feeling of connection and shared enjoyment, perfect for capturing the essence of friendship.
Prompt
camera-positions Two-shot: Warm, celebratory, intimate ; A group of friends, raising their glasses in a toast; Two-shot; Groups; A cozy, dimly lit pub; cinematic
Characteristic
Shot : Four friends are toasting with beer glasses in a pub setting, with a warm and inviting atmosphere.
Aesthetic Score : 0.7
Mood : joyful, celebratory, social
Quality
Entropy : 6.62
Noise : 61
Prompt Clip Score : 0.31
AI Evaluation
Likelihood of AI : 0.10
Image errors : No noticeable errors in the image.
Tension in the Space Corridor
Two astronauts lock eyes in a tense standoff within a spaceship corridor, a third figure blurred in the background. The close-up shot and intense gazes create a palpable sense of anticipation and drama.
Prompt
camera-positions Two-shot: Serious, focused, determined ; Two astronauts, working together in a space station; Two-shot; Heroism; The vast emptiness of space; cinematic
Characteristic
Shot : Two astronauts in space suits are facing each other in a corridor of a spaceship, a third astronaut is blurred in the background.
Aesthetic Score : 0.8
Mood : intense, suspenseful, dramatic
Quality
Entropy : 6.62
Noise : 59
Prompt Clip Score : 0.33
AI Evaluation
Likelihood of AI : 0.10
Image errors : The image has some minor artifacts and compression noise.
Lost in the Jungle: Two Men on a Mysterious Mission
Two figures, shrouded in shadow, navigate a dense jungle path. The dappled sunlight and dense foliage create an atmosphere of suspense and intrigue, hinting at a dangerous and unknown journey ahead.
Prompt
camera-positions Two-shot: Suspenseful, adventurous, determined ; Two explorers, navigating a treacherous jungle path; Two-shot; Adventure; Dense, overgrown jungle; cinematic
Characteristic
Shot : Two men are walking on a path through a dense jungle. The light is filtering through the trees, creating a dappled effect. The men are wearing similar clothing and appear to be on a mission of some sort.
Aesthetic Score : 0.7
Mood : mysterious, adventurous, suspenseful
Quality
Entropy : 6.74
Noise : 108
Prompt Clip Score : 0.31
AI Evaluation
Likelihood of AI : 0.20
Image errors : No visible errors or artifacts
High Five for Victory: Gamers Celebrate in Dimly Lit Room
Two young men share a triumphant high five in a dimly lit gaming room, their excitement palpable in the low-angle shot. The professional setup and the celebratory mood capture the essence of competitive gaming and the camaraderie between friends.
Prompt
camera-positions Two-shot: Excited, triumphant, celebratory ; Two gamers, celebrating a victory with a high-five; Two-shot; Gaming; A brightly lit gaming room with colorful lights; cinematic
Characteristic
Shot : Two young men in a dimly lit room, likely a gaming room, are giving each other a high five. The room has a professional gaming setup with monitors and desks. The image is captured from a slightly low angle, focusing on the men in the foreground.
Aesthetic Score : 0.7
Mood : joyful, celebratory, competitive
Quality
Entropy : 6.09
Noise : 39
Prompt Clip Score : 0.33
AI Evaluation
Likelihood of AI : 0.10
Image errors : The image has some minor artifacts and noise, particularly in the darker areas. Some of the edges of the image are slightly blurred.
Silhouettes of Tranquility: Sunset on the Beach
Two figures stand in quiet contemplation, their backs to the camera, as the sun dips below the horizon, painting the sky in hues of orange and purple. The vastness of the ocean and the peaceful atmosphere create a sense of serenity and wonder.
Prompt
camera-positions Two-shot: Peaceful, romantic, contemplative ; Two travelers, gazing out at a breathtaking sunset over the ocean; Two-shot; Travel; A serene beach with golden sand; cinematic
Characteristic
Shot : Two people standing on a beach facing the ocean at sunset, with their backs to the camera.
Aesthetic Score : 0.6
Mood : tranquil, peaceful, contemplative
Quality
Entropy : 6.53
Noise : 52
Prompt Clip Score : 0.31
AI Evaluation
Likelihood of AI : 0.10
Image errors : The image has a slight blurriness, and the colors are a bit muted. There are some slight artifacts in the sky.
Conclusion
The results show that the generative AI model performed well in terms of camera position and shot analysis, but struggled with aesthetic analysis.
Here’s a breakdown:
- Camera Position Analysis: The score of 0.4 indicates that the model’s ability to react to camera positions in the prompt is average. A score between 0.5 and 0.75 would be considered good, and above 0.75 very good.
- Shot Analysis: The score of 0.52 indicates that the model’s ability to understand the scene in the prompt and create an appropriate shot is good. A score between 0.5 and 0.75 would be considered good, and above 0.75 very good.
- Aesthetic Analysis: The score of 0.03 indicates that the model’s ability to match the expected aesthetic of the image is below average. A score between -0.2 and 0.1 would be considered very good.
Overall, the model seems to be better at understanding and implementing the technical aspects of the prompt (camera position and shot) than the aesthetic aspects.
Sources:
- https://www.studiobinder.com/blog/types-of-camera-shot-angles-in-film/
- https://www.learnaboutfilm.com/film-language/picture/camera-position/
- https://boords.com/blog/16-types-of-camera-shots-and-angles-with-gifs
- https://shorthand.com/the-craft/8-tips-for-great-visual-storytelling/
- https://deepmind.google/technologies/imagen-3/